Observation Collection List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
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{ "count": 948, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=700", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=500", "results": [ { "ob_id": 26580, "uuid": "35829fb8a0f94cdea5859905bdae2e55", "short_code": "coll", "title": "Model output described in the 1995 IPCC Second Assessment Report (IS92 scenarios), 30-year means", "abstract": "Data used in Climate Change 1995, the Second Assessment Report (SAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of IPCC Scenarios IS92 a and d.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, SAR, IS92, Climate Change", "publicationState": "published", "dataPublishedTime": "2021-06-01T21:10:58", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 195 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26588, "uuid": "ea4424762e754ae5971b911084bad162", "short_code": "ob", "title": "30 year climatologies from model output as used in the 1995 IPCC Second Assessment Report (SAR)", "abstract": "Data used in Climate Change 1995, the Second Assessment Report (SAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of IPCC Scenarios IS92 a and d.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 111705, 111707, 112654, 112656, 112657, 112658, 112655, 146589, 146590, 111706 ], "onlineresource_set": [ 25441, 25440 ], "project_set": [ 26578 ] }, { "ob_id": 26581, "uuid": "d31ec9ec0411447e9056d14b6f941026", "short_code": "coll", "title": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC)", "abstract": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, TAR, SRES, Climate Change", "publicationState": "published", "dataPublishedTime": "2021-06-01T21:14:41", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 195 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26585, "uuid": "eca40c1addba4d0782aa7fd45e998c81", "short_code": "ob", "title": "30 year climatologies from model output as used in the 2001 IPCC Third Assessment Report (TAR)", "abstract": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 111710, 111708, 112659, 112660, 112661, 112663, 112664, 112665, 112662, 111709 ], "onlineresource_set": [ 25442, 25443 ], "project_set": [ 26577 ] }, { "ob_id": 26582, "uuid": "3a9c171d7f1c4441ba8ffb9c2c22b81e", "short_code": "coll", "title": "Model output described in the 2007 IPCC Fourth Assessment Report (AR4), 20 and 30 year climatologies", "abstract": "Data used in Climate Change 2007, the Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1b, A2, B1, the commitment scenario experiment (COMMIT), the twentieth century experiment (20C3M), the pre-industrial control (PICTL) and the idealised experiments 1PCTO2X and 1PCTO4X.\r\nThe AR4 climatologies are 20-year averages, 30-year averages have also been calculated for comparison with the IPCC Third Assessment Report (TAR). The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, AR4, SRES, COMMIT, PICTL, 20C3M, 1PCTO2X, 1PCTO4X, Climate Change", "publicationState": "published", "dataPublishedTime": "2021-06-01T21:13:33", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 195 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26584, "uuid": "e6edf4076e7e42f681f495ccf0ec22cb", "short_code": "ob", "title": "20 and 30 year climatologies from CMIP3 climate model output as used in the 2007 IPCC Fourth Assessment Report (AR4)", "abstract": "Climatology data used in Climate Change 2007, the Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC) calculated from Coupled Model Intercomparison Project Phase 3 (CMIP3) model output.\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the IPCC.\r\n\r\nClimatology data was calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1b, A2, B1, the commitment scenario experiment (COMMIT), the twentieth century experiment (20C3M), the pre-industrial control (PICTL) and the idealised experiments 1PCTO2X and 1PCTO4X.\r\n\r\nThe AR4 climatologies are 20-year period averages. 30-year period averages have also been calculated for comparison with the IPCC Third Assessment Report (TAR). The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids.\r\n\r\nThe period averages are:\r\n20x: 20-year averages [+20-39, +46-65, +80-99, +180-199] as used in chapter 10 of IPCC 2007, \r\n30a: 30-year averages [+01-30, +31-60, +61-90] as used in the observed climatologies, \r\n30b: 30-year averages [+10-39, +40-69, +70-99] for compatibility with the IPCC 3rd Assessment Report (TAR).\r\n\r\nThe climatology period averages listed above are relative to AD2000 for SRES scenarios A1B, A2, B1, and the commitment scenario COMMIT, relative to AD1900 for the twentieth century run (20C3M) and relative to the start of the experiment for the pre-industrial control (PICTL) and the 1PCTO2X and 1PCTO4X runs. \r\n\r\nData files are 'tar' files with names of the form [model]_[experiment]_[variable]_{climatology}.tar. \r\n\r\nThe experiments in this dataset include the SRES future scenarios: \r\nA1B Globalisation with rapid economic growth, \r\nA2 Regionalisation with regionally oriented economic development, \r\nB1 Globalisation with global environmental sustainability.\r\nAlso:\r\nCOMMIT simulation of climate change we are committed to given the current loading of greenhouse gasses and zero future emissions. \r\nPICTL the pre-industrial control. \r\n20C3M the 20th century climate simulaiton. \r\n1PTO2X and 1PTO4X idealised simulaitons where the concentration of atmospheric carbon dioxide (CO2) is increased by 1 percent per year from pre-industrial concentration until reaching 2x and 4x the original concentration.\r\n\r\nThe dataset is comprised of monthly mean surface data for the following atmospheric variables: \r\nspecific humidity, \r\nprecipitation flux, \r\nair pressure at sea level, \r\nsurface downwelling shortwave flux in air, \r\nair temperature, \r\nair temperature daily max, \r\nair temperature daily min, \r\neastward wind, \r\nnorthward wind." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 111714, 130044, 130045, 130046, 130047, 130049, 130050, 130051, 130048, 111711, 111712, 111713 ], "onlineresource_set": [ 25445, 25444 ], "project_set": [ 26576 ] }, { "ob_id": 26630, "uuid": "e302b4dd46f54dd5b2dceb374f390c4a", "short_code": "coll", "title": "CMORPH precipitation estimates", "abstract": "This dataset collection contains 0.25 degree resolution 3-hourly and daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.", "keywords": "CMORPH, rainfall, precipitation", "publicationState": "published", "dataPublishedTime": "2018-10-12T16:05:19", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 128 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26527, "uuid": "651d864cf4d24f6bb321458666793f67", "short_code": "ob", "title": "CMORPH 0.25 degree daily precipitation estimates", "abstract": "This dataset contains 0.25 degree resolution daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations." }, { "ob_id": 26628, "uuid": "656b9c8effd0470080a8797e90c5ac44", "short_code": "ob", "title": "CMORPH 0.25 degree 3-hourly precipitation estimates", "abstract": "This dataset contains 0.25 degree resolution 3-hourly global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 111903, 111905, 111906, 111908, 111909, 132768, 111904, 204918, 111907, 168850 ], "onlineresource_set": [], "project_set": [ 26537 ] }, { "ob_id": 26675, "uuid": "0e17fb6a4869482fa041f16687dcf496", "short_code": "coll", "title": "Momentum budget and snow removal experiment model data from Dudh Kosh Valley, Himalaya", "abstract": "This dataset collection contains momentum budget and snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and December 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. The two runs were repeated with the permanent snow and ice changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).", "keywords": "Wind, Himalaya, WRF, momentum budget", "publicationState": "published", "dataPublishedTime": "2018-11-07T10:31:04", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31930, "uuid": "928e62c5a1464b578f78db9a244575a5", "short_code": "ob", "title": "WRF (Weather Research and Forecasting) data over the Dudh Koshi Valley, Himalaya, with and without debris covered glaciers, July 2013", "abstract": "This dataset contains atmospheric data from the WRF (Weather Research and Forecasting) model. The model is located over the Dudh Koshi Valley, and the model was run for July 2013. WRF version 3.8 was used. This data has been used to create and examine the effectiveness of a new debris-covered glacier representation in the WRF model.\r\n\r\nThere are eight NetCDF files containing the data: The model with the default glacier landmask in the model (WRF_DudhKoshiHimalayas_201306_CleanIceGlaciers.nc); the model with a new representation of debris-covered glaciers (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers.nc); and six sensitivity tests varying albedo, emissivity and roughness length (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers_albedoHIGH.nc, etc)." }, { "ob_id": 26672, "uuid": "4b825de1a86e42dbb7abe1f65dcd9abd", "short_code": "ob", "title": "Momentum budget model data from the Dudh Koshi Valley, Nepalese Himalaya", "abstract": "This dataset contains momentum budget model data from Dudh Koshi Valley in the Himalayas. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and January 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).\r\n\r\nThe WRF model has been modified to output the momentum budget components. There are four nested domains, of 27 km, 9 km, 3 km and 1 km resolution. The inner 1 km is 130 km by 130 km, centred on 27.98N, 86.76E." }, { "ob_id": 26673, "uuid": "49ff98246c1f42d7bc0046ae4d0b7ea8", "short_code": "ob", "title": "Momentum budget snow removal experiment model data from the Dudh Koshi Valley, Nepalese Himalaya", "abstract": "This dataset contains momentum budget snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and January 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. All the permanent snow and ice in the model has been changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).\r\n\r\nThe WRF model has been modified to output the momentum budget components. There are four nested domains, of 27 km, 9 km, 3 km and 1 km resolution. The inner 1 km is 130 km by 130 km, centred on 27.98N, 86.76E." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112211, 112212, 112213, 112215, 112216, 112217, 141128, 141129, 112214, 168859 ], "onlineresource_set": [], "project_set": [ 26671 ] }, { "ob_id": 26677, "uuid": "ca0729ec30514a64a6ccd393eacff5f0", "short_code": "coll", "title": "Weighing trees with lasers project: Terrestrial Laser Scanner data collection", "abstract": "This dataset collection is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. The terrestrial laser scanner (TLS) was able to scan 1000s of trees in tropical forests on three continents: including Amazonia, the Congo Basin and SE Asia. The laser data measured 3D tree volume and biomass non-destructively to within a few percent of the best current estimates, made by destructive harvesting and weighing.\r\n\r\nThe project scanned all trees in multiple permanent sample plots (PSPs) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "terrestrial laser scanner , raw data, wood density, forest", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27345, "uuid": "6312f1117b044e0288720f11a9fdd36d", "short_code": "ob", "title": "Weighing trees with lasers: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-11), March 2017", "abstract": "This dataset is comprised of raw and proceesed data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed on a plot site situated in Malaysia Sabah Kabili-Sepilok Forest Reserve on the 20th March 2017 . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Forrestry: Old-growth.\r\n\r\nThe aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27349, "uuid": "d616ea0a4bcc4b36a3f2b01a5d2077a9", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-02), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 39484, "uuid": "7498da3969884bb9a2c7bac20bf5c96d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Grove of Old Trees reserve California (Plot CALI-02), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-02 plot site was situated in the Grove of Old Trees, which is a 48-acre (19 ha) open space reserve woodland of mature coast redwood trees. The grove grows on a broad, flat ridgetop west of Occidental, California,\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27355, "uuid": "1d745315475c4fe4a0d561c4a02e0acd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (TAM-01), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27312, "uuid": "d903e5f48267499992d00b92574caa8e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-03), June 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominent, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 39487, "uuid": "422a95d694bf4963854a2f0ab5d166d6", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Sea Ranch woods California (Plot CALI-07), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-07 plot site was situated in the Sea Ranch Woods near Sonoma California.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27203, "uuid": "d2e07c380e0448389db72dce786e5340", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-A), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27358, "uuid": "4a82c176ca994889862c271cc784f040", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-09), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27315, "uuid": "89c664b7a86341bfa1b65c9fc5a0347d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-04), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27346, "uuid": "275dd9bd0a9f42ff8b226c542b16a772", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-05), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 26423, "uuid": "33592524dd9a4b2f897edbddb69b3381", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data, French Guiana, Cayenne, Nourague Nature Reserve plot site (NOU-11), November 2015", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in French Guiana, Cayenne, Nourague Nautre Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27325, "uuid": "e06a9cc321b149c3b2ab878788f92798", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed , Forrestry: Secondry Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 39481, "uuid": "23f8ccb87b5d41e7b739cacf9c2968b2", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Grove of Old Trees reserve California (Plot CALI-01), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-01 plot site was situated in the Grove of Old Trees, which is a 48-acre (19 ha) open space reserve woodland of mature coast redwood trees. The grove grows on a broad, flat ridgetop west of Occidental, California,\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44526, "uuid": "aabf22e3dc1a4791bd3090756563b347", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-M), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27331, "uuid": "5cc5789f790f40548164f68714bd1205", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data;Ghana Western Region Anakasa Conservation Area (Plot ANK-01), March 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in GhanaWestern Region\tAnakasa Conservation Area. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27328, "uuid": "02db52fec47541cf93e9bac62d80bfd2", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot OKO-01), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant, Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27309, "uuid": "d24ec272fc8e41b18e0eccc9a1b55c3d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27256, "uuid": "0e2faf925c404a4fb817b17a6508cf99", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (Plot MNG-04), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27294, "uuid": "7ad3d55c11614b49988bec9bee12d4bd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (MNG-03), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27352, "uuid": "0e84e3b2ab694046a81c118ed29eff48", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-06), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Floodplain, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44516, "uuid": "82f7734afb3845a8ba5176ed5b1273dc", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-B), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44547, "uuid": "b2cc9fa8a1724936bb07d50e1cfd1e4a", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-05), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44535, "uuid": "c5586da814784847bf4bb3904a37480f", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-03), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27334, "uuid": "12d06294616a434db1756d36f06b01dc", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-12), February 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44524, "uuid": "44da591cfa3f4818a3a0ff318e6bf9fa", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-N), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44549, "uuid": "46dcd358062042eb9a7bd3f9454df127", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-06), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27342, "uuid": "8065f8dc04144a85bbdc7357c723801f", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-30), March 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: White Sand, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27319, "uuid": "f835f111f045429d9301061a34dcbc37", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park Plot OKO-02), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant , Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44545, "uuid": "8953a6e5320f4f0e9cba0b51538c1544", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-04), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27212, "uuid": "b93d491bee374c29a46d0a16049fb65e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-B), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112222, 112224, 112225, 112228, 112229, 112230, 112227, 112226, 204841, 112223 ], "onlineresource_set": [ 25663 ], "project_set": [ 26683 ] }, { "ob_id": 26708, "uuid": "2e735f1e75844ede83f4af703214ad56", "short_code": "coll", "title": "Simulations for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project", "abstract": "Simulations made using the HadGEM2 model in AMIP (atmosphere only) configuration for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project. The SAPRISE project investigates the impacts of aerosols on the South Asian Monsoon using historical simulations forced with anthropogenic aerosols i.e. sulphur dioxide, black carbon and biomass burning aerosols. The simulations cover the period from 1850-2000.", "keywords": "SAPRISE, South Asia, Monsoon, Rainfall, Precipitation, Aerosols, HadGEM2-ES, Historical", "publicationState": "published", "dataPublishedTime": "2019-02-28T16:06:23", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26710, "uuid": "0a730d401f3d4fd1ae819636fa348685", "short_code": "ob", "title": "Ensemble of simulations for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project.", "abstract": "An ensemble of simulations made using the Unified Model version 6.6 (HadGEM2) in AMIP (atmosphere only) configuration for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project. The simulations are used to investigate the impacts of aerosols on the South Asian Monsoon. The four-member ensemble of simulations are forced with anthropogenic-only aerosols i.e. sulphur dioxide, black carbon and biomass burning aerosols. The simulations cover the period from 1850-2000.\r\n\r\nSince aerosol-only simulation is not compulsory in CMIP5, these four runs are complements to other CMIP5 simulations conducted by Met Office using the HadGEM2-ES (vn 6.6)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112372, 112373, 113252, 113253, 113254, 112368, 114443, 204857, 112367, 112369, 112370, 112371 ], "onlineresource_set": [ 25671, 25672, 25676 ], "project_set": [ 12142 ] }, { "ob_id": 26801, "uuid": "1fcdc2b6eeaa4b7baa44a4126283ad6e", "short_code": "coll", "title": "UKCP18 Derived Climate Model Projections for the UK", "abstract": "Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate. The derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.", "keywords": "UKCP18, UKCP, Climate, UK, Derived, Projections, GCM", "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 212 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26794, "uuid": "fe6660946146493ba14b56aa23d5a98a", "short_code": "ob", "title": "UKCP18 Derived time-series of global annual mean temperature increase of 2°C (global warming level of 2°C) at 60km lat-lon Resolution for 1900-2100", "abstract": "Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate. \r\n\r\nThe derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.\r\n\r\nThe derived climate model projections are provided on a 60km spatial grid for the UK region and the projections consist of time series for the RCP2.6 emissions scenario that cover 1900-2100 and a 50 year time series for each of the global warming levels.\r\n\r\nThis dataset contains realisations scenario with global warming stabilised at 2°C. Further information on this dataset and UKCP18 can be found in the documentation section." }, { "ob_id": 26797, "uuid": "bf659725d8704ba694549b89926920dd", "short_code": "ob", "title": "UKCP18 Derived time-series of global annual mean temperature increase of 4°C (global warming level of 4°C) at 60km lat-lon Resolution for 1900-2100", "abstract": "Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate. \r\n\r\nThe derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.\r\n\r\nThe derived climate model projections are provided on a 60km spatial grid for the UK region and the projections consist of time series for the RCP2.6 emissions scenario that cover 1900-2100 and a 50 year time series for each of the global warming levels.\r\n\r\nThis dataset contains realisations scenario with global warming stabilised at 4°C. Further information on this dataset and UKCP18 can be found in the documentation section." }, { "ob_id": 26791, "uuid": "539eed79d6774067ab53e1b421603943", "short_code": "ob", "title": "UKCP18 Derived RCP2.6 Projections at 60km lat-lon Resolution for 1900-2100", "abstract": "Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate. \r\n\r\nThe derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.\r\n\r\nThe derived climate model projections are provided on a 60km spatial grid for the UK region and the projections consist of time series for the RCP2.6 emissions scenario that cover 1900-2100 and a 50 year time series for each of the global warming levels.\r\n\r\nThis dataset contains realisations scenario with global warming stabilised at 2°C. Further information on this dataset and UKCP18 can be found in the documentation section." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112697, 112698, 112699, 112701, 112703, 112700, 204908, 204909, 112702 ], "onlineresource_set": [ 25968, 27323, 27324 ], "project_set": [] }, { "ob_id": 26851, "uuid": "863a47a6d8414b6982e1396c69a9efe8", "short_code": "coll", "title": "CRU JRA: Collection of CRU JRA forcing datasets of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data.", "abstract": "This is a collection of the University of East Anglia Climatic Research Unit (CRU) Japanese Reanalysis (JRA) data. The CRU JRA data are 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS data (these 'ten meteorological variables' are not the same ten available from CRU TS).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR.", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "publicationState": "published", "dataPublishedTime": "2019-02-25T15:47:59", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 103 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38218, "uuid": "38715b12b22043118a208acd61771917", "short_code": "ob", "title": "CRU JRA v2.3: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2021.", "abstract": "The CRU JRA V2.3 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2021.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.06 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 43093, "uuid": "43ce517d74624a5ebf6eec5330cd18d5", "short_code": "ob", "title": "CRU JRA v2.5: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2023.", "abstract": "The CRU JRA V2.5 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 degree latitude x 0.5 degree longitude grid, the grid is near global but excludes Antarctica (this is the same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2023.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.08 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\nThis version of CRUJRA, v2.5 (1901-2023) is, where possible, adjusted to align with CRU TS monthly means or totals. A consequence of this is that, if CRU TS changes, then CRUJRA changes.\r\n\r\nFor this version, and version 4.07 of CRU TS, the CLD (cloud cover, %) variable is now actualised (converted from gridded anomalies) using the original CLD climatology and not the revised climatology introduced last year. This change/reversion is summarised here: https://crudata.uea.ac.uk/cru/data/hrg/cru_cl_1.1/Read_Me_CRU_CL_CLD_Reversion.txt\r\n\r\nSince CLD is used to align DSWRF, CRUJRA Downward Short Wave Radiation Flux (DSWRF) will now be 'closer to' version 2.2 and earlier and should be used in preference to v2.3.\r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 32817, "uuid": "4bdf41fc10af4caaa489b14745c665a6", "short_code": "ob", "title": "CRU JRA v2.2: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2020.", "abstract": "The CRU JRA V2.2 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2020.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.05 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 40271, "uuid": "aed8e269513f446fb1b5d2512bb387ad", "short_code": "ob", "title": "CRU JRA v2.4: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2022.", "abstract": "The CRU JRA V2.4 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 degree latitude x 0.5 degree longitude grid, the grid is near global but excludes Antarctica (this is the same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2022.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.07 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\nThis version of CRUJRA, v2.4 (1901-2022) is, where possible, adjusted to align with CRU TS monthly means or totals. A consequence of this is that, if CRU TS changes, then CRUJRA changes.\r\n\r\nFor this version, and version 4.07 of CRU TS, the CLD (cloud cover, %) variable is now actualised (converted from gridded anomalies) using the original CLD climatology and not the revised climatology introduced last year. This change/reversion is summarised here: https://crudata.uea.ac.uk/cru/data/hrg/cru_cl_1.1/Read_Me_CRU_CL_CLD_Reversion.txt\r\n\r\nSince CLD is used to align DSWRF, CRUJRA DSWRF will now be 'closer to' version 2.2 and earlier and should be used in preference to v2.3.\r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 31963, "uuid": "10d2c73e5a7d46f4ada08b0a26302ef7", "short_code": "ob", "title": "CRU JRA v2.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2019.", "abstract": "The CRU JRA V2.1 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2019.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.04 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 26978, "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed", "short_code": "ob", "title": "CRU JRA v1.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2017.", "abstract": "The CRU JRA V1.1 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2017.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 3.26 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, { "ob_id": 27491, "uuid": "7f785c0e80aa4df2b39d068ce7351bbb", "short_code": "ob", "title": "CRU JRA v2.0: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2018.", "abstract": "The CRU JRA V2.0 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2018.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 4.03 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112756, 112746, 112743, 112744, 112751, 112754, 112755, 112749, 112752, 168490, 168491 ], "onlineresource_set": [ 25828, 25827 ], "project_set": [ 6672 ] }, { "ob_id": 26862, "uuid": "4dc8450d889a491ebb20e724debe2dfb", "short_code": "coll", "title": "HadUK-Grid gridded and regional average climate observations for the UK", "abstract": "This Dataset Collection contains a number of different versions of the HadUK-Grid dataset, each of which present a set of gridded climate variables extending from the present back to the 19th Century. The primary purpose of these data are to facilitate monitoring of the UK climate and research into climate variability, climate change, impacts and adaptation. The Met Office uses these data for operational monitoring of the UK's climate.\r\n\r\nThe data have been interpolated from meteorological station data onto a uniform grid at 1km by 1km resolution to provide complete and consistent coverage across the UK. The 1km data set has been regridded to different resolutions and regional averages to create a collection allowing for comparison to data from UKCP18 climate projections.\r\n\r\nA new version of HadUK-Grid is released each year. The latest version is v1.3.1.ceda, released in June 2025 and containing data up to the end of 2024. A summary of previous releases can be found below. Provisional data for more recent months can be found on the Met Office web site https://www.metoffice.gov.uk/hadobs/hadukgrid/.\r\n\r\nEach version comprises eight Datasets - gridded data at 1, 5, 12, 25 and 60 km resolution, plus three sets of area averages (UK countries, admin regions and river basins).\r\n\r\nThe earliest year of data varies by variable and has changed as more data are digitised. Currently the start years are:\r\n1836 (monthly rainfall)\r\n1884 (monthly max/mean/min air temperature)\r\n1891 (daily rainfall)\r\n1910 (monthly sunshine)\r\n1931 (daily max/min air temperature)\r\n1961 (monthly days of ground frost, relative humidity, mean sea level pressure and vapour pressure)\r\n1969 (monthly mean wind speed)\r\n1971 (monthly days of lying snow)\r\n\r\nThe grids are provided at daily (max/min air temperature and rainfall only), monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods.\r\n\r\nThe latest release has been created by the Met Office funded by the UK Department for Science, Innovation and Technology (DSIT).\r\n\r\nPrevious versions were created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project.\r\n\r\nFor all versions, the data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\".\r\n\r\nThe data are provided under Open Government Licence v3 (see each dataset for links to licence and associated citations to use).\r\n\r\nList of dataset versions (latest first) and key differences (each release also extends the dataset by one year):\r\n\r\nv1.3.1.ceda (1836-2024) - Daily temperature extended back to 1931 (from 1960). Historical data recovery has improved daily rainfall over Scotland for 1922-1945.\r\nv1.3.0.ceda (1836-2023) - Historical data recovery has improved daily rainfall over Scotland for 1945-1960.\r\nv1.2.0.ceda (1836-2022) - Monthly sunshine extended back to 1910 (from 1919). Incorporation of Rainfall Rescue v2.\r\nv1.1.0.0 (1836-2021) - Addition of climate averages for 1991-2020. Rainfall Rescue v1 dataset incorporated into the monthly rainfall grids which are extended back to 1836 (from 1862).\r\nv1.0.3.0 (1862-2020)\r\nv1.0.2.1 (1862-2019) - Monthly sunshine extended back to 1919 (from 1929). Historical data recovery has also improved monthly rainfall 1862-1910, daily rainfall 1891-1910 and monthly temperature 1900-1909. Correction to the grid definition for 12 km grid product to match the UKCP18 climate model products.\r\nv1.0.1.0 (1862-2018) - Addition of 5km data.\r\nv1.0.0.0 (1862-2017) - Initial release.\r\n\r\nSee the change log file for each version for further details.\r\n\r\nNote: The introduction of the '.ceda' suffix was done to highlight that CEDA is the source of these data files compared to other potential sources (e.g. the UKCP User Interface https://ukclimateprojections-ui.metoffice.gov.uk/ui/home) The data values are the same - it is the way the data are packaged that may differ between sources.\r\n\r\nEach version following the initial release is accompanied by change log files. These list new files in the version compared with the previous version plus summary totals of the number of files that remained the same, modified and removed. Links to these change logs are available in the 'Details/Docs' section of each dataset. Additionally, a summary change log file is provided which gives an overview of all changes to the data sources and processing methods since the initial release. This summary can be found in the 'Details/Docs' section below or via the individual datasets.\r\n\r\nThis collection supersedes the UKCP09 Dataset Collection and contains all datasets within the major version 1 release (i.e. v1.#.#.#). See Hollis et al. (2019; linked documentation) for details on the version numbering utilised.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1141, "name": "NDGO0001" } ], "member": [ { "ob_id": 37208, "uuid": "59a7cd0dcd474f5f906ead4073a9be8b", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 26880, "uuid": "373c4edbcbdd41c3be6c6de6abb5afeb", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 32986, "uuid": "bc774f1b83524437a8046d8b9a9e3c6d", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 37207, "uuid": "39b1337028d147d9b572ae352490bed0", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 44204, "uuid": "3b010220fe184e209462a01efd00d207", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 32985, "uuid": "489e22fb2961482bb76711cedbeecedd", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data sets cover the UK at 1km x 1km resolution. These 1km x 1km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 40126, "uuid": "3d30627eee5a48be844c32723b7b6be8", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 31907, "uuid": "89908dfcb97b4a28976df806b4818639", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 42322, "uuid": "5ba67d62cdc249a3bc5b1c38b339beb3", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 44203, "uuid": "a6488cbe43ec470db2ff5bad64f84cb6", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 31901, "uuid": "4f165fc3b96b430fb6e35b859758c9ce", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 37213, "uuid": "aeb4ca481d634ec597831282c3baed32", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 32984, "uuid": "0cb035c7598a4dcb8aecb6b6558c83e9", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 31904, "uuid": "df33c78736a44019b8ceb20ab440cae1", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28143, "uuid": "1715a1c03e544f47a3e803324f0bf4ca", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 44206, "uuid": "3302df4f8d174999bfbc5d0b86d93dce", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation). \r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 26877, "uuid": "a2fb07be9622439fa191f0e596f5e4f9", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 60 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28144, "uuid": "d715d2ac53f14f21acc6952a0278817d", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 5 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28142, "uuid": "131fd45e37d74bcc82d9a6e12fc1d366", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 31905, "uuid": "725e1339c06344cc813e4cb123c12f81", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 40127, "uuid": "e6822428e4124c5986b689a37fda10bc", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 37214, "uuid": "7edd216fcf794b1f9a5889d496d50e54", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 40132, "uuid": "22df6602b5064b1686dda7e9455f86fc", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 28141, "uuid": "e4d28cddec7b4e1ab50eae189070f7dc", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28138, "uuid": "8929d37209c24f44ba33a5e11910c363", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 12 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 32990, "uuid": "f2da35c56afb4fa6aebf44094b65dff3", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 26886, "uuid": "5c4d012e7fb84bcf87a9dfb481eb657b", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 44205, "uuid": "45d40c035f9a48b997821b6b92194b75", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 32988, "uuid": "54a99222c1e741a4a70ef1caa8f10c7e", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). \r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 31903, "uuid": "e091188f36ff41fcae8c30da1ae77ea0", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 44208, "uuid": "c014df7ace2f4da4a808437ac6e73a16", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 40129, "uuid": "46f8c1377f8849eeb8570b8ac9b26d86", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 42321, "uuid": "c22d0b462321447882d2d1367cc77d3c", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 31902, "uuid": "7d205e6cb7b4441eb3cdd5bbc4fd7829", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 32989, "uuid": "786b3ce6be54468496a3e11ce2f2669c", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 42327, "uuid": "a508838f92c74005a26b9277eae59a7c", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2023\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 42325, "uuid": "5a248096468640a6bfb0dfda8b018ac5", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation). \r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 40130, "uuid": "0545f37fb7124df381d42468eb63c144", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 40131, "uuid": "adf1a6cf830b4f5385c5d73609df8423", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 40125, "uuid": "b39898e76ab7434a9a20a6dc4ab721f0", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2022 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 26871, "uuid": "dc2ef1e4f10144f29591c21051d99d39", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 12 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 42323, "uuid": "18ddbb686be549bfadfecbe0c673f405", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 28140, "uuid": "75f2c9746d8245b29ad80c04a6a202fd", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 60 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 37209, "uuid": "6f4ac352b19341eb8c5b26644845ac35", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 26883, "uuid": "607a713e4a0e4a229dac1b23fd6d41a6", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 42328, "uuid": "8a51496be92b4e9488954c7c0199f3f9", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 37210, "uuid": "e6866698e5bd46cfa726cd82a7971f9a", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 31906, "uuid": "1bea761180674b9f9b1830f9aabfac15", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). \r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. Additionally, this version has corrected the grid definition used for the 12 km grid product to match UKCP18 climate model products.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 32987, "uuid": "616e6194a8c742d790f3b43bf66a534d", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 28139, "uuid": "e84aabcd886c41c488b4bd84558ab974", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.1.0 (1862-2018)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 25 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations and the earlier v1.0.0.0 version. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 44209, "uuid": "8793782a2bd44122b901501dfc883cf6", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\n Changes to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 44210, "uuid": "896792be61a241a88bb668b5adfdb353", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 44207, "uuid": "f02cc6ddd92f45b18b9ab6ab544df7d9", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 31908, "uuid": "2fd7c824e7e549809c1bc6a128ad74db", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 26863, "uuid": "2a62652a4fe6412693123dd6328f6dc8", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data sets cover the UK at 1km x 1km resolution. These 1km x 1km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 32991, "uuid": "97bc0b64bc354898a242a42238e1b45c", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.3.0 (1862-2020)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThis release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 40128, "uuid": "640d33e0cf99477990f7fee35a101850", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.2.0.ceda (1836-2022)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2022, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). \r\n\r\nThe changes for v1.2.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2022\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp- spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 37211, "uuid": "652cea3b8b4446f7bff73be0ce99ba0f", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). \r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 42324, "uuid": "b963ead70580451aa7455782224479d5", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 42326, "uuid": "b1282951f38947da93c0b0db31bb8419", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.3.0.ceda (1836-2023)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, { "ob_id": 26874, "uuid": "c8ed5d039558446bbcd12b695389abb1", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 25 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, { "ob_id": 37212, "uuid": "bbca3267dc7d4219af484976734c9527", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.1.0.0 (1836-2021)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2021, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe changes for v1.1.0.0 HadUK-Grid datasets are as follows:\r\n\r\n* The addition of data for calendar year 2021\r\n\r\n* The addition of 30 year averages for the new reference period 1991-2020\r\n\r\n* An update to 30 year averages for 1961-1990 and 1981-2010. This is an order of operation change. In this version 30 year averages have been calculated from the underlying monthly/seasonal/annual grids (grid-then-average) in previous version they were grids of interpolated station average (average-then-grid). This order of operation change results in small differences to the values, but provides improved consistency with the monthly/seasonal/annual series grids. However this order of operation change means that 1961-1990 averages are not included for sfcWind or snowlying variables due to the start date for these variables being 1969 and 1971 respectively.\r\n\r\n* A substantial new collection of monthly rainfall data have been added for the period before 1960. These data originate from the rainfall rescue project (Hawkins et al. 2022) and this source now accounts for 84% of pre-1960 monthly rainfall data, and the monthly rainfall series has been extended back to 1836.\r\n\r\nNet changes to the input station data used to generate this dataset:\r\n\r\n-Total of 122664065 observations\r\n\r\n-118464870 (96.5%) unchanged\r\n\r\n-4821 (0.004%) modified for this version\r\n\r\n-4194374 (3.4%) added in this version\r\n\r\n-5887 (0.005%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 112813, 112814, 112815, 112817, 112819, 115301, 119092, 112816, 112818, 118915, 119007, 119008, 119009, 119010, 119011 ], "onlineresource_set": [ 25896, 27520, 41627, 41628, 41629 ], "project_set": [ 13164 ] }, { "ob_id": 26980, "uuid": "ce289ace73a045fcb4fb90813f0db8e3", "short_code": "coll", "title": "CORDEX EUR Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, Europe, EUR, EUR-44, EUR-44i, MOHC, Region 5", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:55:24", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26975, "uuid": "832286d9dd34405d94fc3575f8ebb949", "short_code": "ob", "title": "CORDEX EUR-44 data produced by the Met Office Hadley Centre regional climate models HadRM3P and HadGEM3-RA", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional models HadGEM3-RA and HadRM3P running at 0.44 degree resolution over the Europe CORDEX domain (EUR-44). \r\nHadGEM3-RA is a regional atmospheric model that is based on the atmospheric component of the HadGEM3 Global Environment Model. \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadGEM3-RA and HadRM3P models are driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2010.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 26976, "uuid": "18d8f075aa6b4401b1fc88d2ac7f6c03", "short_code": "ob", "title": "CORDEX EUR-44i data produced by the Met Office Hadley Centre regional model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Europe CORDEX domain (EUR44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim re-analysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [ 10209 ], "responsiblepartyinfo_set": [ 113220, 113212, 113214, 113215, 113216, 113217, 113271, 113211, 113219, 113218 ], "onlineresource_set": [ 26038, 26039, 26172 ], "project_set": [ 26972 ] }, { "ob_id": 27050, "uuid": "625a38498f364f0caa04407fb85644b8", "short_code": "coll", "title": "CORDEX EAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, EAS, EAS44, EAS44i, MOHC, East Asia, Region 7", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:54:54", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27047, "uuid": "c47ee635b055465da578404741e3170f", "short_code": "ob", "title": "CORDEX EAS-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the East Asia CORDEX domain (EAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27044, "uuid": "899d557f993c4f94a83694582d922f76", "short_code": "ob", "title": "CORDEX EAS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Central Asia CORDEX domain (EAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113358, 113359, 113360, 113361, 113362, 113363, 113366, 113357, 113364, 113365 ], "onlineresource_set": [ 26121, 26120, 26171 ], "project_set": [ 26972 ] }, { "ob_id": 27065, "uuid": "5723e4ef485748629a02cf8acbf48b75", "short_code": "coll", "title": "CORDEX AUS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, AUS, AUS44, AUS44i, MOHC, Australasia, Region 9", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:54:25", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27063, "uuid": "7fe8ea09ad984453b689aa3668a428b9", "short_code": "ob", "title": "CORDEX AUS-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27058, "uuid": "0a0f559a083f4cea84971dd486e0efa3", "short_code": "ob", "title": "CORDEX AUS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113412, 113413, 113414, 113415, 113416, 113417, 113420, 113411, 113418, 113419 ], "onlineresource_set": [ 26153, 26154, 26170 ], "project_set": [ 26972 ] }, { "ob_id": 27112, "uuid": "dce27a397eaf47e797050c220972ca0e", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.4 data collection", "abstract": "Soil Moisture data (version 04.4) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from AMI-WS and ASCAT instruments and for the PASSIVE product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30 and the ACTIVE product covering 1991-08-05 to 2018-06-30. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014\r\n\r\n4. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W.: Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-21, in review, 2019.", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "citable", "dataPublishedTime": "2019-04-30T13:47:04", "doiPublishedTime": "2019-05-06T10:03:18", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27108, "uuid": "bac3632d641642988c4abf55c587eed0", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.4", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.4 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 27092, "uuid": "8d4360b5c6cd48eb967286da31b33567", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.4", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. \r\n\r\nThe v04.4 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2018-06-30 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 27113, "uuid": "dff5410043ee4d2094cdf3b9b5284a63", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.4", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.4 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 27110, "uuid": "a341b3dcb0d8416498acc70dd14faa6e", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.4", "abstract": "The Soil Moisture CCI COMBINED dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.4 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" } ], "identifier_set": [ 10516 ], "responsiblepartyinfo_set": [ 113589, 113590, 113591, 113592, 113593, 113595, 113596, 113594, 113597, 113598, 113599, 113600, 113601, 113602, 113603, 113604, 113605, 114479, 113606 ], "onlineresource_set": [ 26286, 26279, 26278, 26280, 26277, 26281, 26282, 26283, 26284, 26285, 26287, 26608, 26276, 26274, 87614 ], "project_set": [ 13332 ] }, { "ob_id": 27127, "uuid": "4eba765330c84701880a4b27c5ebc18f", "short_code": "coll", "title": "CORDEX NAM Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, NAM, NAM44, NAM44i, MOHC, Australasia, Region 3", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:53:29", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27094, "uuid": "9a64f9bdafe3420c8220318bf1ba10aa", "short_code": "ob", "title": "CORDEX NAM-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the North America CORDEX domain (NAM-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27093, "uuid": "75816c81595b45ec89ddbfa84b9c4f3b", "short_code": "ob", "title": "CORDEX NAM-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the North America CORDEX domain (NAM-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113656, 113657, 113658, 113659, 113660, 113661, 113664, 113655, 113662, 113663 ], "onlineresource_set": [ 26337, 26338, 26339 ], "project_set": [ 26972 ] }, { "ob_id": 27129, "uuid": "1cd669029af34dcd8fbb4b24bc46c9c1", "short_code": "coll", "title": "CORDEX SAM Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the South America Domain (SAM) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, SAM, SAM44, MOHC, Australasia, Region 1", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:53:04", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27096, "uuid": "8d35749494c44215801f947fc80f0d98", "short_code": "ob", "title": "CORDEX SAM-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the South America Domain (SAM-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the South America CORDEX domain (SAM-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27148, "uuid": "fcebbb5ad28947378ee874ea1569c2a1", "short_code": "ob", "title": "CORDEX SAM-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the South America Domain (SAM-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the South America CORDEX domain (SAM-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113667, 113668, 113669, 113670, 113671, 113672, 113675, 113666, 113673, 113674 ], "onlineresource_set": [ 26342, 26343 ], "project_set": [ 26972 ] }, { "ob_id": 27131, "uuid": "035bf62d438044bba51659186465cffc", "short_code": "coll", "title": "CORDEX ANT Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Antarctica Domain (ANT) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, ANT, ANT44, MOHC, East Asia, Region 10", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:52:42", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27115, "uuid": "aa3e7a9a6c654672902ff83c653f5cdd", "short_code": "ob", "title": "CORDEX ANT-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Antarctica Domain (ANT-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Antarctica CORDEX domain (ANT-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113678, 113679, 113680, 113681, 113682, 113683, 113686, 113677, 113684, 113685 ], "onlineresource_set": [ 26346, 26348, 26349 ], "project_set": [ 26972 ] }, { "ob_id": 27136, "uuid": "9506d4a8097e4e1d8e11d322cf760448", "short_code": "coll", "title": "CORDEX ARC Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Arctic Domain (ARC) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, ARC, ARC-44, MOHC, East Asia, Region 11", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:52:18", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27117, "uuid": "cf51ae0aa6204f1792b0e8d8198ff135", "short_code": "ob", "title": "CORDEX ARC-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Arctic Domain (ARC-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Arctic CORDEX domain (ARC-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113692, 113693, 113694, 113695, 113696, 113697, 113700, 113691, 113698, 113699 ], "onlineresource_set": [ 26350, 26352, 26353 ], "project_set": [ 26972 ] }, { "ob_id": 27142, "uuid": "13631476324948598c34e84ce90a1363", "short_code": "coll", "title": "CORDEX CAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Central Asia Domain (CAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, CAS, CAS44, MOHC, Australasia, Region 8", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:51:45", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27101, "uuid": "a664b1039cf2434a819fc5c3ca1bef52", "short_code": "ob", "title": "CORDEX CAS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Central Asia Domain (CAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Central Asia CORDEX domain (CAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113706, 113707, 113708, 113709, 113710, 113711, 113714, 113705, 113712, 113713 ], "onlineresource_set": [ 26355, 26356 ], "project_set": [ 26972 ] }, { "ob_id": 27147, "uuid": "f9025ac0ca0f4a8da211d8a9dfca75db", "short_code": "coll", "title": "CORDEX AFR Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, Africa, AFR, AFR-44, AFR-44i, MOHC, Region 4", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:50:57", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27143, "uuid": "4e51a750c60b44c693db4662fe5cfc29", "short_code": "ob", "title": "CORDEX AFR-44i data produced by the Met Office Hadley Centre regional model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Africa CORDEX domain (AFR44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim re-analysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27144, "uuid": "5f6dde2669184967b19c5e4c36d5d362", "short_code": "ob", "title": "CORDEX AFR-44 data produced by the Met Office Hadley Centre regional climate models HadRM3P and HadGEM3-RA", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional models HadGEM3-RA and HadRM3P running at 0.44 degree resolution over the Africa CORDEX domain (AFR-44). \r\nHadGEM3-RA is a regional atmospheric model that is based on the atmospheric component of the HadGEM3 Global Environment Model. \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadGEM3-RA and HadRM3P models are driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2010.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113743, 113738, 113739, 113740, 113741, 113742, 113746, 113737, 113744, 113745 ], "onlineresource_set": [ 26391, 26392, 26393 ], "project_set": [ 26972 ] }, { "ob_id": 27163, "uuid": "a590f587d3b64ca28a367fa3c82554fb", "short_code": "coll", "title": "CORDEX WAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the West Asia Domain (WAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, West Asia, WAS, WAS-44, WAS-44i, MOHC", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:50:18", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 215 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27162, "uuid": "36dc92e160c442b2b83f2ad80da4c494", "short_code": "ob", "title": "CORDEX WAS-44i data produced by the Met Office Hadley Centre regional model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the West Asia Domain (WAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the West Asia CORDEX domain (WAS44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim re-analysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." }, { "ob_id": 27158, "uuid": "60e2f0b902e847dd86376294245d6693", "short_code": "ob", "title": "CORDEX WAS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the West Asia Domain (WAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the West Asia CORDEX domain (WAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113775, 113776, 113777, 113778, 113779, 113780, 113783, 113774, 113781, 113782 ], "onlineresource_set": [ 26424, 26425 ], "project_set": [ 26972 ] }, { "ob_id": 27197, "uuid": "8710d8ef8d73419990cbf551afe667a1", "short_code": "coll", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution air quality data for Sub-Saharan Africa", "abstract": "This dataset contains No2, NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.", "keywords": "NE/P008453/1, Air Quality, Sub-Saharan Africa, Nairobi, AQD", "publicationState": "published", "dataPublishedTime": "2019-03-07T11:51:10", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27201, "uuid": "6d73dc9c4a3f45008b57ed19fe74b07d", "short_code": "ob", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution No2 air quality data for Sub-Saharan Africa", "abstract": "This dataset contains No2 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa." }, { "ob_id": 27202, "uuid": "6a5dd6e317274d1fac1ebc196d94a9dd", "short_code": "ob", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution NH3 air quality data for Sub-Saharan Africa", "abstract": "This dataset contains NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 113867, 113868, 113869, 113870, 113872, 113873, 113874, 113875, 113871, 113876, 168867, 113877, 113878, 113879 ], "onlineresource_set": [], "project_set": [ 27196 ] }, { "ob_id": 27283, "uuid": "836daab8d626442ea9b8d0474125a446", "short_code": "coll", "title": "University of Bath Skiymet meteor radar data collection", "abstract": "The University of Bath have operated a number of meteor radars in the northern and southern hemisphere since around 1999. These commercially produced Skiymet meteor radars are all-sky VHF (Very High Frequency) meteor radar systems. The various instruments have been operated by the University of Bath from October 1999 to present - albeit with some gaps in the data coverage. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe Skiymet radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. The key data parameters recorded for each meteor echo include:\r\n\r\n1. Date and time of the meteor detection \r\n2. Range to the meteor echo point \r\n3. Height of the meteor echo above the ground \r\n4. Radial drift velocity of the meteor echo and its uncertainty \r\n5. Zenith and azimuth angles of the meteor echo \r\n6. Ambiguity levels in the determined zenith and azimuth angles \r\n7. Decay time of the meteor echo \r\n8. Meteor echo power and S/N ratio\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.", "keywords": "meteor radar, mesosphere", "publicationState": "published", "dataPublishedTime": "2019-05-24T11:21:32", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27280, "uuid": "ba34cd217a8c49548f6fe62254b79fac", "short_code": "ob", "title": "University of Bath: Esrange Skiymet meteor radar data (2000-2018)", "abstract": "The University of Bath's meteor radar located at the Esrange Space Centre in Northern Sweden (67.88 N, 21.07E) , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It was operated by the University of Bath from October 1999 to October 2015 - albeit with some gaps in the data coverage. In October 2015, Esrange took over operation of the radar. Meteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, { "ob_id": 27276, "uuid": "432c43bda95e4c3fa990e866ab78ad4f", "short_code": "ob", "title": "University of Bath: Bear Lake Observatory Skiymet meteor radar data (2008-2018)", "abstract": "The University of Bath's Bear Lake Observatory (BLO) meteor radar (42 N, 114 W), Utah, is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. The system has been operational from March 2008, providing meteor detection and derived wind data. Note, however, that there have been with some significant gaps in the data coverage. The data have been produced in support of a number of research projects - see linked Project records for further details.\r\n\r\nMeteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, { "ob_id": 27271, "uuid": "aa44e02718fd4ba49cefe36d884c6e50", "short_code": "ob", "title": "University of Bath: Rothera Skiymet Meteor Radar data (2005-present)", "abstract": "The University of Bath's meteor radar located at the British Antarctic Survey's Rothera base on Rothera Point, Adelaide Island, Antartica (67.57 S, 68.13 W), is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. Meteor detection and derived wind data from this instrument are available from 2005. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.\r\n\r\nNote - there are additional data from 20040728 in the archive. No other data were obtained between that date and the start date for the dataset (20050212). The start date of 20050212 has been chosen in order to avoid potential confusion about missing data prior to that date." }, { "ob_id": 27274, "uuid": "0d05cf74e17f49c2b7c5cd02faa59291", "short_code": "ob", "title": "University of Bath: Ascension Island Skiymet Meteor Radar data (2005-2012)", "abstract": "The University of Bath's Ascension Island meteor radar (7.9 S, 14.4 W) is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. The system was operational from October 2001 to June 2011, albeit with some gaps in the data coverage, in support of a number of research projects - see linked Project records for further details. Meteor detection and derived wind data from this instrument were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "short_code": "ob", "title": "University of Bath: King Edward Point Skiymet meteor radar data (2016-2020)", "abstract": "The University of Bath's meteor radar located at the King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) on South Georgia island in the South Atlantic , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It has been operational since 2016 providing meteor detection and derived wind data in support of the NERC funded South Georgia Wave (SG-WEX) and DRAGON-WEX: The Drake Passage and Southern Ocean Wave Experiments (see linked Project records for further details).\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114099, 114100, 114101, 114103, 114104, 114105, 114106, 114102, 114107 ], "onlineresource_set": [], "project_set": [ 27267, 27266, 27265, 27264, 27263, 27261, 27260, 27258, 27206, 26591, 26590 ] }, { "ob_id": 27293, "uuid": "ab029e4d61e94aaba2ecbf40779ad42d", "short_code": "coll", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen", "abstract": "This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1).", "keywords": "SONATA, Carbon dioxide, SHIP, Oxygen, BAS, Antarctica, Halley", "publicationState": "published", "dataPublishedTime": "2019-02-21T11:57:59", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27286, "uuid": "235c7abace54467f84a680e8322a1b40", "short_code": "ob", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship 2018", "abstract": "This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship. A Li-6252 CO2 analyser and Oxzilla II O2 analyser was used for measurement. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1)." }, { "ob_id": 26620, "uuid": "84e30a69df5a4cd2b34eddb647c5c3d9", "short_code": "ob", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Carbon Dioxide measurements by the British Antarctic Survey from the Halley Research Station in Antarctica", "abstract": "This dataset contains carbon dioxide concentration measurements from the British Antarctic Survey's Halley Research Station in Antarctica. The Picarro G2301 analyser was used for the measurement of carbon dioxide and located at the Clean Air Sector Laboratory (CASLab). Data times were averaged from the 1 minute data to provide hourly data sets. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1)." }, { "ob_id": 27548, "uuid": "96a6ad89375a4f9ca68489758f9259da", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Hourly averaged methane measurements taken from Sapper Hill, Falkland Islands Atmospheric Observatory, 2010-2018", "abstract": "This dataset contains hourly averaged methane measurements taken from Sapper Hill, Falkland Islands Atmospheric Observatory from 2010-2018. Sapper Hill, Falkland Islands Atmospheric Observatory was established by the Royal Holloway Greenhouse Gas Research Group in October 2010 and handed to the British Antarctic Survey AIC group in September 2016 for long term observations of atmospheric mixing ratios. The observatory is located on Sapper Hill overlooking Stanley.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114121, 114122, 114123, 114127, 114128, 114129, 114132, 114125, 114133, 168874, 114130, 114131 ], "onlineresource_set": [], "project_set": [ 26626 ] }, { "ob_id": 27425, "uuid": "e82a62d926d7448696a2b60c1925f811", "short_code": "coll", "title": "CMIP6 HighResMIP: Tropical storm tracks", "abstract": "This collection of datasets hold the tropical storm tracks derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulations obtained from the Earth System Grid Federation (ESGF). Different storm tracking algorithms are used to identify the storm tracks including TRACK (Hodges, K., et. al., 2017) and TempestExtremes (Ullrich and Zarzycki, 2017; Zarzycki and Ullrich, 2017).", "keywords": "CMIP6, HighResMIP, storm, tracking, tropical, cyclone, hurricane, typhoon", "publicationState": "published", "dataPublishedTime": "2019-07-23T10:59:49", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 216 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27427, "uuid": "0b42715a7a804290afa9b7e31f5d7753", "short_code": "ob", "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TRACK algorithm", "abstract": "These data are the tropical storm tracks calculated using the \"TRACK\" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available.\r\n\r\nThe storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments:\r\n1950-2014 - highresSST-present, atmosphere-only;\r\n2015-2050 - highresSST-future experiment, atmosphere-only;\r\n1950-2050 – control-1950, coupled atmosphere-ocean;\r\n1950-2014 – hist-1950, coupled atmosphere-ocean;\r\n2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. \r\nThere is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval.\r\n\r\nOther variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values." }, { "ob_id": 27580, "uuid": "438268b75fed4f27988dc02f8a1d756d", "short_code": "ob", "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TempestExtremes algorithm", "abstract": "These data are the tropical storm tracks calculated using the \"TempestExtremes\" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available.\r\n\r\nThe storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments:\r\n1950-2014 - highresSST-present, atmosphere-only;\r\n2015-2050 - highresSST-future experiment, atmosphere-only;\r\n1950-2050 – control-1950, coupled atmosphere-ocean;\r\n1950-2014 – hist-1950, coupled atmosphere-ocean;\r\n2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. \r\nThere is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval.\r\n\r\nOther variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114644, 114645, 114646, 114647, 114648, 114650, 114651, 114652, 114649, 168773, 114653 ], "onlineresource_set": [ 26542, 26543, 26544 ], "project_set": [ 27422 ] }, { "ob_id": 27434, "uuid": "1452fa13390549f5a6794840b948a8d1", "short_code": "coll", "title": "Regularised optical, thermal and backscatter land surface System State Vector (SSV) time series data collection from the BACI ( Towards a Biosphere Atmosphere Change Index) project.", "abstract": "The BACI System State Vector datasets cover large regional sites in Europe, West, Eastern and Southern Africa in addition to smaller fast track sites in Denmark, Wytham Forest, Kruger National Park, Hainich, Viterbo, Romania, Slovenia, Ethiopia and Southern/Central/Northern Somalia. \r\n\r\nThe BACI datasets address one of main complications in combining different Earth Observation (EO) data streams is a requirement of common time and space resolution. These data are gap free time series, of EO data across optical (reflectance, albedo), passive microwave (LST) and active microwave (backscatter) domains. This collection contains optimally smoothed and filtered time series of reflectance, albedo and backscatter datasets, starting in 2000 and running to the present, as the core SSV output. \r\n\r\nCrucially, the SSV data is provided with consistent uncertainties, which is key for use in downstream quantitative modelling and change detection applications, particularly to help attribute and explain detected change. Changes in the Earth’s surface can have very different properties and so can influence very different domains of the electromagnetic spectrum. As a result these datasets are particularly useful for trying to detect changes in ecosystem structure and function, a potentially vital application for satellite monitoring of the Earth system.", "keywords": "BACI, Biodiversity, long time series, State Surface Vector, land surface temperature, backscatter, albedo, uncertainty", "publicationState": "published", "dataPublishedTime": "2019-10-08T15:40:09", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 214 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29902, "uuid": "ce294d36cc5d4117a9a2a5f998bdd2e8", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Hainich fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Hainich forested hill chain in the state of Thuringia in Germany and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29921, "uuid": "d638387d907648b68fa8578907293d9a", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Romanian fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Romanian fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29917, "uuid": "0075727fcd2844a38fc1f03907e0ec5d", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Northern Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Northern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29915, "uuid": "4d3684dd0d1a4c87b7bec95ff33349e2", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Central Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Central Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29908, "uuid": "335ea0c5ed984f2ea5887ecf5d3e0993", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Viterbo fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Viterbo and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29919, "uuid": "41b281acc6f2404a88232e5c0ef12009", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Southern Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Southern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29906, "uuid": "26d87003a3684fb69713a4f1bb085861", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Slovenia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Slovenia and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29904, "uuid": "d667a28f59664ecdba50fe97dd9d63c7", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Wytham Forest fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Wytham Forest in Oxfordshire, UK and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29900, "uuid": "5f1d4afa090a4e5c9937ec3362ffd77e", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Denmark fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Denmark provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29913, "uuid": "aef2d8a023094015971b1dbfdb035abd", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Kruger National Park fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Kruger National Park track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27435, "uuid": "af13038e9caf499482a9bbb0b8fca2b8", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the European regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Europe provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27436, "uuid": "ccb3b45ba498406ebc7d8d95aaae77cf", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Southern African regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Souther African regional site provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 29910, "uuid": "a11904c87b50418d898756a9d9d12579", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Ethiopian fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Ethopian fst track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27444, "uuid": "63d305bfc8774883a8f49eb2fa27ce93", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Horn of Africa regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Horn of Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27437, "uuid": "e27efc2d7f294ec2ac4e68d4b44102aa", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for West African regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for West Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114681, 129248, 129267, 129266, 204836, 204837, 204838, 204839, 204840, 129249 ], "onlineresource_set": [], "project_set": [ 27702 ] }, { "ob_id": 27445, "uuid": "b3e807b8df824a8ca83468ce2e5b54e5", "short_code": "coll", "title": "In situ observations of air-sea interaction processes from the Iceland Greenland seas Project (IGP)", "abstract": "This collection contains a range of in situ observations of meteorological and air-sea interaction processes from a range of instruments on several platforms (buoy, ship , radiosonde) from the Iceland Greenland seas Project (IGP). \r\n\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US and Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)", "keywords": "IGP, AFIS, radiosonde, radiometer, buoy, HATPRO", "publicationState": "published", "dataPublishedTime": "2019-05-29T13:15:49", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31878, "uuid": "7cc70ebf9ebc46d483fb4f17a984a978", "short_code": "ob", "title": "Iceland Greenland seas Project (IGP): meteorological buoy measurements", "abstract": "This dataset contains meteorological, sea water temperature, surface ocean currents and wave height, direction and period measurements from a Seawatch Wavescan meteorological buoy deployed in the northwest Iceland Sea for the Iceland Greenland seas Project (IGP). \r\n\r\nThis was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Amospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1). \r\n\r\nThe Seawatch Wavescan meteorological buoy was deployed during the first leg of the NATO Research Vessel Alliance cruise, on 21 February 2018. Its position in the northwest Iceland Sea was strategically placed adjacent to a subsurface mooring in the Eggvin Offset. The dataset contains standard meteorological variables, surface ocean currents and wave height, direction and period from the buoy. Sea water temperature measurements at 8 m depth from the co-located mooring beneath the buoy are included to replace failed sea surface temperature measurements from the buoy under the reasonable assumption that this was still within the surface ocean mixed layer in this region. Similarly, pressure measurements that failed for roughly half of the deployment are replaced by surface layer estimates from ECMWF's ERA5 reanalysis product interpolated to the position of the meteorological buoy, corroborated for the period the sensor was working. Otherwise the buoy worked well for 2.5 months, until it broke loose from its anchor and stopped recording on 6 May 2018 and was recovered soon after. Also provided in the dataset are bulk aerodynamic flux estimates generated using the COARE3.0a algorithm." }, { "ob_id": 32482, "uuid": "59e9e7ae4f9040d38d9f203a4aae96e2", "short_code": "ob", "title": "BAS-MASIN flight 294 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 294 on 01 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project.\r\nThis dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA).\r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32539, "uuid": "e4bc229019c6442ea7060fcf6a97a600", "short_code": "ob", "title": "BAS-MASIN flight 297 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 297 on 06 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 34692, "uuid": "705abc2d9988444ba79e942f22219bc0", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): water isotope measurements from the University of Bergen vapour isotope analyzer on board the NATO Research Vessel Alliance within SNOWPACE", "abstract": "This dataset contains measurements of the water vapour isotope composition of ambient vapour, surface snow, ocean water, and precipitation obtained from water vapour isotope analyzers manufactured by Picarro Inc., as well as from discrete sampling and subsequent laboratory analysis. The analyzer was installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. Discrete sampling included precipitation, sea water, and standards from the R/V Alliance. The Picarro L2140-i analyzer is a cavity ring-down spectrometer that uses infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil) at 1 Hz time native resolution. The data set for the R/V Alliance has been joined with the meteorological data from R/V Alliance (https://catalogue.ceda.ac.uk/uuid/b4ba8f11459c422d84d7293b9211ccf7) at 60 s averaging. For further details and figures on the Picarro analyzer, and the sample collection during the campaign, and processing thereafter, please read the attached documentation. \r\n\r\nThis research is funded by the Research Council of Norway under the Sources of the Norwegian winter season snow pack constrained by stable water isotopes - SNOWPACE project (Project Nr. 262710) and the Facility for advanced isotopic research and monitoring of weather, climate and biogeochemical cycling (FARLAB) project (Project Nr. 245907)." }, { "ob_id": 31783, "uuid": "b4ba8f11459c422d84d7293b9211ccf7", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): surface layer meteorological measurements on board the NATO Research Vessel Alliance", "abstract": "This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR. \r\n\r\nThis dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. Sea surface temperature was measured by the underway SBE38 bow temperature sensor for the majority of the cruise, with 2m CTD observations used to fill several short gaps where high frequency observations were available. Additionally these observations have been processed using the COARE 3.0a bulk aerodynamic flux algorithm to provide bulk variables at standard heights and estimated flux coefficients. Attached documentation on quality control methods and calibrations should be consulted before using these data.\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)." }, { "ob_id": 40384, "uuid": "a9746a66ed654c26983eb7529a592275", "short_code": "ob", "title": "Surface level turbulence derived from MASIN flight measurements and the MetUM model for the Iceland Greenland Sea's Project (IGP)", "abstract": "This dataset contains surface layer turbulent fluxes and meteorological variables derived from Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft combined with the Met Office Unified Model (MetUM) 2.2 km quasi-operational forecast model output. These data were based on measurements made during the February-March 2018 field campaign of the Iceland Greenland Sea's Project (IGP) which included the UK component- Atmospheric Forcing of the Iceland Sea (AFIS) project- funded by NERC (NE/N009754/1)." }, { "ob_id": 32543, "uuid": "3a91ec64a9f8440ebb565ea9411e2a89", "short_code": "ob", "title": "BAS-MASIN flight 298 airborne meteorological observationsa from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 298 on 08 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32478, "uuid": "4c506d968f40478382dcc2f5b9f073fc", "short_code": "ob", "title": "BAS-MASIN flight 293 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 293 on 01 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project.\r\n\r\nThis dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA).\r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32159, "uuid": "dc723f82939843f199fff78778d5b8d0", "short_code": "ob", "title": "Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance", "abstract": "This dataset contains measurements from the Micro Rain Radar (MRR2), manufactured by Meteorologische Messtechnik GmbH (Metek) installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. \r\nThe MRR2 is a frequency modulated (FM), continuous wave (CW) Radar (Radio Detection and Ranging) that obtains doppler spectral density at each range gate with a time resolution of 10 s. The terminal velocity of the precipitation targets (vT) is the primarily retrieved variable from these doppler spectral density observations. Additionally, drop size distribution and the corresponding moments, for example liquid water content (LWC), rain rate (RR) and Radar Reflectivity (Ze) are retrieved with post processing.\r\nThe initial installation location from 03-13 Feb 2018 was midship on the weatherdeck. At Reykjavik harbour the MRR2 worked as expected, while at sea artificial signals at three elevations appeared. The artificial signals were due to an interference on the power cable or power source. On 11 Feb 2018, a separate power source for the MRR2 could be secured, and it subsequently operated without interferences after ~12 UTC that day. For further details and figures on the MRR2 and its operation in the cruise please read the attached documentation." }, { "ob_id": 32473, "uuid": "c58391ab280746b186d2aa6f3adcc0c7", "short_code": "ob", "title": "BAS-MASIN flight 292 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 292 on 28 February 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32555, "uuid": "161295e94805427b9a295057f66f60e4", "short_code": "ob", "title": "BAS-MASIN flight 301 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 301 on 12 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 26651, "uuid": "35f30876a4894169bb1ebeafe1e0c447", "short_code": "ob", "title": "Iceland Greenland seas Project (IGP):Humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel.", "abstract": "This dataset contains humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel for the Iceland Greenland seas Project (IGP). \r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)" }, { "ob_id": 32571, "uuid": "378139c15c784477bfdd7bd8c204c0f6", "short_code": "ob", "title": "BAS-MASIN flight 305 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 305 on 18 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 34698, "uuid": "7c8ce1c47da548a08146fa62158303c5", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): water isotope measurements from the University of Bergen vapour isotope analyzer on board the BAS research aircraft MASIN within SNOWPACE", "abstract": "This dataset contains measurements of the water vapour isotope composition of ambient vapour obtained from a water vapour isotope analyzers manufactured by Picarro Inc, as well as discrete samples of water standards used for calibration. The analyzer was installed onboard the research aircraft MASIN of the British Antarctic Survey. Discrete sampling included standards from the on-board calibration system on the MASIN aircraft. The Picarro L2130-i analyzer is a cavity ring-down spectrometer that uses infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil) at 1 Hz time resolution. The water isotope data set for the MASIN aircraft is joined with the airborne meteorological observations data set from the MASIN aircraft at different averaging times. For further details and figures on the Picarro analyzers, and processing thereafter, please read the attached documentation. \r\n\r\nThis research is funded by the Research Council of Norway under the Sources of the Norwegian winter season snow pack constrained by stable water isotopes - SNOWPACE project (Project Nr. 262710) and the Facility for advanced isotopic research and monitoring of weather, climate and biogeochemical cycling (FARLAB) project (Project Nr. 245907)." }, { "ob_id": 32563, "uuid": "51976f12732a491b95433d008afc291f", "short_code": "ob", "title": "BAS-MASIN flight 303 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 303 on 14 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 26505, "uuid": "5acca11ececb4d8283b7e633370b6751", "short_code": "ob", "title": "Iceland Greenland seas Project (IGP): Upper air sounding: Profiles of temperature, pressure, humidity, wind speed and wind direction", "abstract": "This dataset contains upper air sounding profiles of temperature, pressure, humidity, wind speed and wind direction measurements from the NCAS Vaisala Sounding Station unit 2 radiosonde lauches. The radiosondes were launched over Greenland and Iceland from the Alliance research ship for the Iceland Greenland seas Project (IGP). \r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)" }, { "ob_id": 32535, "uuid": "52f829aaebdb4989b748e006d02e2029", "short_code": "ob", "title": "BAS-MASIN flight 296 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 296 on 05 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32567, "uuid": "4f8c49b537c54b85af1538a74685c6a5", "short_code": "ob", "title": "BAS-MASIN flight 304 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 304 on 16 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32551, "uuid": "257233ecd1c64544862d93ce09ac5aee", "short_code": "ob", "title": "BAS-MASIN flight 300 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 300 on 09 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32559, "uuid": "ab10878dace441b6b6bdd2baa8528b92", "short_code": "ob", "title": "BAS-MASIN flight 306 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 306 on 19 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 32531, "uuid": "0ad5bcadb29e4b4998f5dcd26375f349", "short_code": "ob", "title": "BAS-MASIN flight 295 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 295 on 04 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." }, { "ob_id": 34686, "uuid": "2db9a5613f634329bc581d3e00045cf5", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): water isotope measurements from the University of Iceland vapour isotope analyzer at Húsavik and samples of precipitation and surface snow in Iceland and southern Norway within SNOWPACE", "abstract": "This dataset contains measurements of the water vapour isotope composition of ambient vapour obtained from a water vapour isotope analyzer manufactured by Los Gatos Research (LGR), and from discrete sampling of surface snow and precipitation and subsequent laboratory analysis. The analyzer was installed in the harbour of Húsavik, Iceland. Discrete sampling included precipitation and surface snow from two surface transects in northern Iceland and in several locations in southern Norway. The LGR LWIA analyzer is an off-axis cavity ring-down spectrometer using infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil). The data set for the Húsavik station is accompanied by automatic weather station data (air temperature, relative humidity, wind speed, wind direction, sea-level pressure) from the Icelandic weather service (vedur.is) for several nearby locations. For further details and figures for the vapour measurements, and the surface sample collection during the campaign, and processing thereafter, please read the attached documentation.\r\n\r\nThis research is funded by the Research Council of Norway under the Sources of the Norwegian winter season snow pack constrained by stable water isotopes - SNOWPACE project (Project Nr. 262710) and the Facility for advanced isotopic research and monitoring of weather, climate and biogeochemical cycling (FARLAB) project (Project Nr. 245907)." }, { "ob_id": 37365, "uuid": "9fb47f1d6d294b0dba553adc2253e6cf", "short_code": "ob", "title": "Idealised climate model simulations for the Iceland Greenland Sea's Project (IGP)", "abstract": "This dataset contains idealised climate model simulations for the Atmospheric Forcing of the Iceland Sea (AFIS) project which was the UK component, funded by NERC, of the Iceland Greenland Sea's Project (IGP). The UK Met Office Unified Model (MetUM) version 10.6 with a regional nested domain was used to carry out a suite of simulations of the atmosphere over the NE North Atlantic region. The set up of the MetUM uses the Global Atmosphere 6 and Global Land 6 (GA6/GL6) configurations including the ENDGame dynamical core.\r\nModel simulations were run on the Met Office supercomputer accessed through Monsoon. \r\n\r\nThis dataset contains the output for one of 7 model outputs. \r\nThese are:\r\nTemperature - 1.5m Surface Temperature output from themodel simulations.\r\nLatent HF - Latent Heat Flux output from the model simulations.\r\nSensible HF - Sensible Heat Flux output from the model simulations.\r\nRelative Humidity - Relative Humidity output from the model simulations.\r\nSpecific Humidity - Specific Humidity output from the model simulations.\r\nSurface Winds - 10 m U and V wind component output from the model simulations.\r\nMSLP - Mean Sea Level Pressure output from the model simulations.\r\n\r\nA list of papers related to this dataset can be found in the linked online resources on this record." }, { "ob_id": 29983, "uuid": "cc93b95c264644519777aa1ab37c23c0", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): three dimensional wind profile measurements from the University of Bergen Windcube V2 pulsed Lidar on board the NATO Research Vessel Alliance", "abstract": "This dataset contains corrected observations (motion and translational movement) from a WindCube V2 Lidar (Leosphere). The instrument was mounted on the NATO Research Vessel Alliance during Iceland Greenland Seas Project (IGP) campaign in February–March 2018.\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)." }, { "ob_id": 32547, "uuid": "2b290f3138fe431a83f5203d690a4893", "short_code": "ob", "title": "BAS-MASIN flight 299 airborne meteorological observations from the Iceland Greenland Seas Project (IGP)", "abstract": "In-situ airborne observations collected during flight 299 on 08 March 2018 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Iceland Greenland seas Project (IGP) including the Atmospheric Forcing of the Iceland Sea (AFIS) project. This dataset is a quality-controlled revision of the core meteorological data, generated at the University of East Anglia (UEA). \r\nData were collected over the Iceland and Greenland Sea area." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114730, 114727, 114728, 114729, 114732, 140255, 140755, 114731 ], "onlineresource_set": [ 26555 ], "project_set": [ 24899 ] }, { "ob_id": 27480, "uuid": "0e99091596b34b3b846c40134937fe91", "short_code": "coll", "title": "Global predicted sea-surface iodide concentrations", "abstract": "This dataset collection contains global spatially predicted sea-surface iodide concentrations at a monthly resolution for the year 1970. It was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nAs new observations are made, this global data product will be continually added to and updated through a \"living data\" model. The datasets follows semantic versioning (https://semver.org/) and holds different versions of this. Please refer to the paper referenced for the current version number and information on this (see related documentation).", "keywords": "NE/N009983/1, Iodide, sea-surface, ozone deposition, iodine emission, Ocean, Model, NERC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27478, "uuid": "6448e7c92d4e48188533432f6b26fe22", "short_code": "ob", "title": "Global predicted sea-surface iodide concentrations v0.0.1", "abstract": "This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution for the year 1970. It was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThis dataset is the output used in the published paper 'A machine learning based global sea-surface iodide distribution' ( https://doi.org/10.5194/essd-2019-40) \r\n\r\nThe main ensemble prediction (\"Ensemble_Monthly_mean \") is provided in a NetCDF file as a single variable (1). A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nFor ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a further file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, this global data product will be updated through a \"living data\" model. The dataset versions follow semantic versioning (https://semver.org/) This dataset contains the first publicly released version v0.0.1 and supersedes the pre-review dataset named v0.0.0, Please refer to the paper referenced above for the current version number and information on this.\r\n\r\nUpdates for v0.0.1 vs. v0.0.0\r\n- Additional files included of the core data re-gridded for 0.5x0.5 degree and 0.25x0.25 degree horizontal resolution.\r\n- Minor updates were applied to all metadata in NetCDF files.\r\n- Updates were made to coordinate grids used for regriding files from 1x1 degree to 4x5 degree." }, { "ob_id": 27020, "uuid": "02c6f4eea9914e5c8a8390dd09e5709a", "short_code": "ob", "title": "Global predicted sea-surface iodide concentrations v0.0.0", "abstract": "This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution. This dataset was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThe main ensemble prediction (\"Ensemble Monthly mean \") is provided in a NetCDF (1) file as a single variable. A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nThis is the output of the paper 'A machine learning based global sea-surface iodide distribution' (see related documentation). For ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, we will update the global dataset through a \"living data\" model. The dataset versions archived here follow semantic versioning (https://semver.org/) The pre-review dataset is achieved in the folder named v0.0.0, with the with publically released versions numbered starting from v1.0.0. Please refer to the referenced paper (see related documentation) for the current version number and information on this." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 114883, 114884, 114885, 114886, 114887, 114888, 114890, 114889, 168884, 114891, 114892, 114893, 114894, 114895 ], "onlineresource_set": [ 26605, 27000 ], "project_set": [] }, { "ob_id": 27499, "uuid": "f5b38d1654d84b03ba79060746541e4f", "short_code": "coll", "title": "UK DECC (Deriving Emissions linked to Climate Change) Network", "abstract": "This dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\n\r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks.", "keywords": "greenhouse gas, tall tower, uk-decc-network", "publicationState": "published", "dataPublishedTime": "2020-04-09T11:38:16", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27559, "uuid": "4370dacd17544eb781aa1e51cc4dc633", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, and SF6 measurements from Ridge Hill Tall Tower, Herefordshire", "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and sulfur hexafluoride (SF6) have been taken at Ridge Hill tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nRidge Hill (RGL) is a rural UK site located 13 km south-east of Hereford (population ~55,000), and 30 km south-west of Worcester (population ~94,000), in Herefordshire, UK. Measurements of SF6 and N2O have been taken using gas chromatography with an electron capture detector (GC-ECD), sampling from a height of 90 m above ground level. Measurements are also taken from inlet heights of 45 m and 90 m above ground level using laser-based techniques for CO2 and CH4. Due to the location of the site, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, { "ob_id": 27563, "uuid": "d2090552c8fe4c16a2fd7d616adc2d9f", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Bilsdale Tall Tower, North York Moors National Park", "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) made at Bilsdale Tall Tower, North York Moors National Park were made for the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nBilsdale (BSD) tall tower is in a remote area of the North York Moors National Park and is the first monitoring site in the northeast region of England. The closest large conurbations are York and Middlesbrough, located 30 miles south and 16 miles northeast, respectively. The tower is on a high plateau overlooking green valleys used mainly for livestock (sheep and cattle). Between 2014-01-01 and 2017-03-17, air samples are taken from a line sampling 108 m above ground level. From 2017-03-17 onwards, air was sampled from 248 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Ridge Hill, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, { "ob_id": 43187, "uuid": "bd7164851bcc491b912f9d650fcf7981", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 24.09", "abstract": "This version 24.09 dataset consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN: 5488/11/2021) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet 10 metres above ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." }, { "ob_id": 41180, "uuid": "bc5b7568ef2a467fa97642910eb45aa7", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 23.08", "abstract": "This version 23.08 dataset consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN: 54\r\n88/11/2021) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network\r\n consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet 10 metres above ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to\r\n assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." }, { "ob_id": 27793, "uuid": "df502fe4715c4177ab5e4e367a99316b", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Heathfield Tall Tower, East Sussex", "abstract": "Measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) have been taken at Heathfield tall tower as part of the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nHeathfield (HFD) is a semi-rural UK site located 19 km south of Royal Tunbridge Wells (population ~118,000), in East Sussex, UK. This station is affiliated to the UK DECC (Deriving Emissions related to Climate Change) Network, and is operated by the National Physics Laboratory (NPL). CO2, CH4 and CO are measured at a height of 50 m and 100 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK and Ireland.\r\n\r\nDue to the sites location, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Ridge Hill and Tacolneston) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol and through the National Measurement System at the National Physical Laboratory." }, { "ob_id": 43618, "uuid": "040f19261fa24683988bff79b255f0a8", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 25.01", "abstract": "This version 25.01 dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases.\r\n\r\nThe four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." }, { "ob_id": 27558, "uuid": "ae483e02e5c345c59c2b72ac46574103", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6, CO and halocarbon measurements from Tacolneston Tall Tower, Norfolk", "abstract": "Measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6), carbon monoxide (CO) and a suite of halocarbons and other trace gases have been taken at Tacolneston tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nTacolneston (TAC) is a rural UK site located on the in the east of England, 16 km south-west of Norwich (population ~200,000), and 32 km east of Thetford (population ~20,000), in Norfolk, UK.\r\n\r\nThree gas chromatography instruments measured atmospheric N2O, SF6, CO, H2 and other trace gas species from an inlet positioned at a height of 100 m above ground level between 2012-01-01 and 2017-03-09. The inlet height was then changed to 185 m above ground level. Two instruments (GC-RGA and GC-ECD) were decommissioned on 2018-03-13. The remaining two continue to operate. Two laser-based instruments have been used to measure CO2, CH4, N2O and CO from inlet heights of 54 m, 100 m, and 185 m above ground level. Due to the location of the site, far from strong sources of local pollution, measurements from this site can be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Ridge Hill and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, { "ob_id": 43147, "uuid": "11163154cef4496988d45658c9cfbabf", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 24.01", "abstract": "This version 24.01 dataset consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN: 5488/11/2021) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet 10 metres above ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 115295, 115297, 115299, 115300, 115294, 115296, 115298, 180007, 180009, 208796, 180014, 180018, 180013, 208797, 115291, 180015, 180010, 208798, 208799, 115292, 180008, 180012, 180017, 208800, 180016, 180011 ], "onlineresource_set": [ 52448, 88531 ], "project_set": [ 27561, 43619 ] }, { "ob_id": 27513, "uuid": "3587430e588b491e8a795664466a27d1", "short_code": "coll", "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v4", "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, potential evapo-transpiration and wet day frequency.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2019-06-06T13:29:35", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 103 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32804, "uuid": "c26a65020a5e4b80b20018f148556681", "short_code": "ob", "title": "CRU TS4.05: Climatic Research Unit (CRU) Time-Series (TS) version 4.05 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2020)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.05 data are month-by-month variations in climate over the period 1901-2020, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.05 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2020.\r\n\r\nThe CRU TS4.05 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.05 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob", "title": "CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2018)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.03 data are month-by-month variations in climate over the period 1901-2018, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.03 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2018.\r\n\r\nThe CRU TS4.03 data were produced using angular-distance weighting (ADW) interpolation. All version 4 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.03 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 38103, "uuid": "e0b4e1e56c1c4460b796073a31366980", "short_code": "ob", "title": "CRU TS4.06: Climatic Research Unit (CRU) Time-Series (TS) version 4.06 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2021)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.06 data are month-by-month variations in climate over the period 1901-2021, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.06 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2021.\r\n\r\nThe CRU TS4.06 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.06 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 30263, "uuid": "89e1e34ec3554dc98594a5732622bce9", "short_code": "ob", "title": "CRU TS4.04: Climatic Research Unit (CRU) Time-Series (TS) version 4.04 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2019)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.04 data are month-by-month variations in climate over the period 1901-2019, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.04 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2019.\r\n\r\nThe CRU TS4.04 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.04 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 26858, "uuid": "b2f81914257c4188b181a4d8b0a46bff", "short_code": "ob", "title": "CRU TS4.02: Climatic Research Unit (CRU) Time-Series (TS) version 4.02 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2017)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.02 data are month-by-month variations in climate over the period 1901-2017, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.02 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2017.\r\n\r\nThe CRU TS4.02 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.02 is a full release, differing only in methodology from the parallel release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. \r\n\r\nThe CRU TS4.02 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 43100, "uuid": "715abce1604a42f396f81db83aeb2a4b", "short_code": "ob", "title": "CRU TS4.08: Climatic Research Unit (CRU) Time-Series (TS) version 4.08 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2023)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.08 data are month-by-month variations in climate over the period 1901-2023, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.08 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2023.\r\n\r\nThe CRU TS4.08 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.08 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 20372, "uuid": "edf8febfdaad48abb2cbaf7d7e846a86", "short_code": "ob", "title": "CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.00 data are month-by-month variations in climate over the period 1901-2015, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.00 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2015.\r\n\r\nThe CRU TS4.00 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions.\r\n\r\nThe CRU TS4.00 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob", "title": "CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2016)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.01 data are month-by-month variations in climate over the period 1901-2016, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.01 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2016.\r\n\r\nThe CRU TS4.01 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.01 is a full release, differing only in methodology from the parallel release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3.\r\n\r\nThe CRU TS4.01 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, { "ob_id": 40300, "uuid": "5fda109ab71947b6b7724077bf7eb753", "short_code": "ob", "title": "CRU TS4.07: Climatic Research Unit (CRU) Time-Series (TS) version 4.07 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2022)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.07 data are month-by-month variations in climate over the period 1901-2022, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.07 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2022.\r\n\r\nThe CRU TS4.07 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.07 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 115000, 115002, 115003, 115001, 115011, 115012, 115008, 115006, 115005, 115004, 115009, 115007, 115010, 115013, 168542, 168543 ], "onlineresource_set": [ 26664, 26665 ], "project_set": [ 6672 ] }, { "ob_id": 27626, "uuid": "c7b218dddeed42a585792f521e448784", "short_code": "coll", "title": "__MUST_UPDATE__20190729154734__ EUFAR11_04: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for HyMedEcos-Gradients - Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation (EUFAR11_04).", "keywords": "EUFAR11_04, HYMEDECOS-GRADIENTS, aircraft, hyperspectral, remote sensing", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 97 ], "discoveryKeywords": [], "member": [ { "ob_id": 24587, "uuid": "ee52c35f235f401d8da28848084f2f2f", "short_code": "ob", "title": "ARSF 2011_097 - EUFAR HYMEDECOS-GRADIENTS/EUFAR11_04 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HyMedEcos-Gradients - Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation (EUFAR11_04) project (flight reference: 2011_097).\r\n\r\nData were collected over the Alentejo region, southern Portugal area." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 115463, 115464, 115465, 115466, 115467, 115468, 115469, 115462, 115470 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 27633, "uuid": "f6f424ff804b434685e2913e5bd2f3b0", "short_code": "coll", "title": "FIDUCEO: Collection of Climate data records from Earth Observations Satellites from the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) project", "abstract": "The Fidelity and Uncertainty in Climate data records from Earth Observations consists of new climate datasets from Earth Observation Satellites which have received rigorous treatment of uncertainty informed by the discipline of metrology. The collection datasets include Fundamental Climate Data Records (FCDRs) containing harmonised radiances and [Thematic] Climate Data Records (CDRs) for ensemble sea and lake surface temperature, tropospheric humidity, aerosol optical depth and surface albedo that are widely applicable and metrologically rigorous.\r\n\r\nThe archived FCDRs have a length relevant to climate (>20 years) and can support numerous CDRs. The selected CDRs illustrate new capabilities (e.g. equi-probable ensembles) as well as the benefiting from use of the new FCDRs, resulting in improved stability and traceable uncertainties. Specifically, the data collection contains: harmonised radiances (FCDRs) for the following sensors: Advanced Very High Resolution Radiometer (AVHRR), High Resolution Infrared Radiation Sounder (HIRS), Advanced Microwave Sounding Unit-B (AMSU-B), Microwave Humidy Sounder (MHS) and Meteosat Visible Infra-Red Imager (MVIR); and geophysical datasets with uncertainties.", "keywords": "FIDUCEO, H2020, Uncertainty, Earth Observation, Instrument calibration, climate data records, metrology, MVIIRI, AVHRR, HIRS, AMSU-B, MHS, sea surface temperature, lake surface temperature, tropospheric humidity, aerosol optical depth, surface albedo", "publicationState": "published", "dataPublishedTime": "2019-08-21T11:09:23", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 214 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27603, "uuid": "6ba14d86c5854cc083d45a54c0b8c67c", "short_code": "ob", "title": "FIDUCEO project AVHRR for HIRS to SLSTR gap period FCDR", "abstract": "FIDUCEO brings insights from metrology (measurement science) to the observation of Earth’s climate from space.\r\n\r\nNew versions of four key Fundamental Climate Data Records (FCDRs) will be created that include state-of-the-art information about observational uncertainty. We will demonstrate how to propagate that information to derived geophysical datasets — i.e., five important climate data records (CDRs) will be developed with traceable uncertainty and stability estimates." }, { "ob_id": 27607, "uuid": "dd63f6f7239f4c1da830950c6e58cfdd", "short_code": "ob", "title": "FIDUCEO: Sea and Lake Surface Temperature Climate Data Record, V2.11, 2006 -2016", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Sea and Lake Surface Temperature Climate Data Record core retrieved quantity is the skin (radiometric) temperature of the Earth’s water surfaces (sea and large lakes). This is provided as a best estimate, plus an ensemble of 10 perturbations capturing known uncertainties. The CDR contains grid-cell instantaneous averagesof retrieved surface temperature over ice-free oceans and 300 large lakes.\r\n\r\n\r\nThe FIDUCEO Surface Temperature CDR differs from the ESA Sea Surface Temperature Climate Change Initiative CDRs ; which were generated using in the using the same cloud detection and SST retrieval methodology in the following points:\r\n\r\n- The calibration of the brightness temperatures used is revised for the FIDUCEO ST CDR. The first step in this has been multi-sensor harmonisation to obtain baseline calibration coefficients (Giering et al., 2019). For specific ST application, these coefficients were adjusted such that SSTs had lower bias, using a method of cross-referencing to matched drifting buoys (Merchant et al., 2019)\r\n- Perturbations to the obtained ST and quality level determination are provided for an ensemble of 10 members, for the purpose of propagating uncertainty in ST in complex (large scale, non-linear) applications.\r\n- The FIDUCEO ST CDR includes retrievals over the world’s 300 largest lakes, unlike the SST-only product. (Lakes, including much smaller lakes,are addressed in other CDRs requiring significantly different methodsto cope with the difficulties of small target water bodies.)\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 26981, "uuid": "a8e9f44965434f3b861eba77688701ef", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of Microwave Brightness Temperatures with uncertainties, 1994 - 2017, v4.1", "abstract": "The FIDUCEO Microwave Fundamental Climate data record, v4.1, contains microwave brightness temperatures and uncertainties for series of satellite instruments (all mission years of SSMT2 on F11, F12, F14, F15; AMSU-B on NOAA15, NOAA16 and NOAA17; and MHS missions (NOAA18, NOAA19, MetopA,-B)). The presented FCDR is a long data record of increased consistency among the instruments compared to the operational data record and is a long enough data record to generate climate data records (CDRs) for climate research. The improvements are based on the strict application of the measurement equation as well as dedicated corrections and improvements within the calibration process. The data record contains quantified uncertainty components, respecting the correlation behaviour of underlying effects.\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation" }, { "ob_id": 27599, "uuid": "67b206b17365444b8243182f04c8ba44", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) with metrologically-traceable uncertainty estimates, 1998 - 2016, v1.0", "abstract": "This Fundamental Climate Data Record (FDCR) of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) AVHRR/1, AVHRR/2 andAVHRR/3 with metrologically-traceable uncertainty estimates. Error covariance information is also provided.In this data set , in addition to relative reflectance for channels 1, 2 and 3A( when available) together with estimated independent, common and structured uncertainties are also provided.\r\n\r\nThe FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project AVHRR FCDR improves on existing AVHRR level-1B data (such as that processed by NOAA or EUMETSAT): the calibration has been improved with a measurement function approach such that the data is of better quality (noise has been reduced, outliers have been filtered) the metrologically traceable uncertainties have been derived together with their associated effects cross-channel correlations and long-term correlation structures have now been calculated from the processed data and are being understood and used to improve data quality and consistency all the sensors are calibrated to a common reference (AATSR series).The products have been harmonised across the satellite series using Simultaneous (Nadir) Overpasses (SNOs).\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 26982, "uuid": "2083b33b5c3d4cf0acb9a49226789caa", "short_code": "ob", "title": "FIDUCEO: Microwave Upper Troposheric Humidity and Uncertainties, Climate Data Record, 1994-2017, V1.2", "abstract": "The The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Upper Tropospheric Humidity (UTH) Climate Data Record version 1.2 dataset is derived from satellite brightness temperatures and uncertainties from the FIDUCEO Microwave Fundamental Climate Data Record (FCDR). The instantaneous observations from the FIDUCEO Microwave FCDR are used to derive a spatio-temporal averaged data record, which contains monthly mean UTH and brightness temperature mapped to a regular latitude/longitude grid covering the tropical region (-30° to 30° N), with a spatial resolution of 1° x 1°. It covers all mission years of the Special Senson Microwave for Temperature (SSMT2) instrument on the F11, F12, F14, F15 satellites, the Advanced Mircowave Sounding Unit (AMSU-B ) instrument on the NOAA 15-17 satellites and the Microwave Humidity Sounder (MHS) instruments on the NOAA18, NOAA19, MetopA, Metop-B satellites. \r\n\r\nFull documentation including product user guide, tutorials and relevant publications are available in the documentation" }, { "ob_id": 27606, "uuid": "1326447659e34bc3ba8042041ca0546b", "short_code": "ob", "title": "FIDUCEO: Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth, V1.0, 2003 -2012", "abstract": "The Fidelity and uncertainty in climate data records from Earth Observations (FIDUCEO) projcet Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth (AOD) dataset covers Europe and North Africa over land. It was inferred from AVHRR/3 instruments on board the NOAA-16 and NOAA-18 satellites. \r\n\r\nThe dataset is provided on 3 processing levels: superpixels (L2B: 12x12 km2at nadir), gridded (1°x 1°) daily (L3 daily) and monthly (L3 monthly). The original lowest processing level (on selected dark field pixels) is not provided to users, but can be made available on request. The product contains the best AOD estimate but also a more detailed information on different aerosol types (most likely AOD value based on a multi-model ensemble climatology of the aerosol type and a 36 member ensemble of AOD values for a wide range of aerosol types spanning a realistic range in the atmosphere). A user can also process an application with all 36 ensemble members and then calculate the spread of the application results. Note that AOD values on the lowest processing level can be (slightly) negative reflecting radiometric calibration uncertaintiesand keeping un-cut AOD distributions.\r\n\r\nThe products contain on all levels sophisticated and detailed estimates of total AOD uncertainties propagated from the input L1B products and the retrieval algorithm through all levels of the processing chain. These total uncertainties can be directly used for data assimilation or to constrain a confidence interval around the AOD solutions. AOD uncertainties are also kept separated into the (relevant) different parts with different correlation structures, so that a user can conduct averaging and uncertainty propagation as suitable for the intended applications. Uncertainties also include separate values for the dominant effects (reflectance inversion, albedo estimation, aerosol type, cloud masking); also estimates of a sampling uncertainty (due to missing pixels from the cloud masking or from failed inversions) are contained.\r\n\r\nMore information including a report on the datset and scientific background is availible in the documentation section." }, { "ob_id": 27602, "uuid": "0aacafffe6fc469398b2022fa20c6ef9", "short_code": "ob", "title": "FIDUCEO project AVHRR for AATSR to SLSTR gap period FCDR", "abstract": "FIDUCEO brings insights from metrology (measurement science) to the observation of Earth’s climate from space.\r\n\r\nNew versions of four key Fundamental Climate Data Records (FCDRs) will be created that include state-of-the-art information about observational uncertainty. We will demonstrate how to propagate that information to derived geophysical datasets — i.e., five important climate data records (CDRs) will be developed with traceable uncertainty and stability estimates." }, { "ob_id": 27600, "uuid": "a6f20758d98c40b6b8d97357181d1175", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) with uncertainties, 1985 - 2016, v1.0", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Fundamental Climate Data Record of recalibrated brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) contains recalibrated brightness temperatures for HIRS for all editions of HIRS/2, HIRS/2I, HIRS/3, and HIRS/4, with metrologically traceable uncertainty estimates. This version is harmonised and anchored to infrared atmospheric sounding interferometer IASI via MetopA satellite.\r\n\r\nIt contains 40 years worth of data covering the period period 1985-03-10 to 2016-12-31. Each file contains: Basic telemetry: longitude, latitude, time, satellite and solar angles; Brightness temperatures for channels1--19; Independent and structured uncertainty for channels 1--19; A lookup table to convert between radiances and brightness temperatures for channels 1—19; A channel error correlation matrix; Two bitfields indicating identified problems with the data. For any data field that varies across the channels (such as brightness temperatures and their uncertainties).\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 27604, "uuid": "afa7ac23b4a04c07a93a143689fd14d5", "short_code": "ob", "title": "FIDUCEO: MVIRI Aerosol Optical Thickness and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Aerosol Optial depth demonstration dataset contains the aerosol optical thickness (AOT) as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centred around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe aerosol optical thickness (AOT) was retrieved from the MVIRI fundamental climate data record (FCDR) using the Combined Inversion of Surface and AeRosol (CISAR) Algorithm. Both datasets were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project. The primary objective of this data record is to assess and demonstrate how the recalibrated and uncertainty-quantified MVIRI FCDR can support improved retrieval of geophysical parameters. Of particular interest is the impact of in-flight reconstructed and spectrally degrading spectral response functions.\r\n\r\nMore information is available in the MVIRI Report and Release Note in the documentation" }, { "ob_id": 27601, "uuid": "631e1f22d1754b78b5a64a3d66f4ce73", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) with ten member ensemble of perturbed level1 data, 2006 - 2016, v1.0", "abstract": "This Fundamental Climate Data Record (FDCR) ensemble product contains both recalibrated AVHRR/3 MetOp-A Radiance/Brightness Temperature data with associated metrologically traceable uncertainties in the FIDUCEO FCDR format. It also contains files containing an Ensemble dataset consisting of perturbations to the associated FIDUCEO FCDR radiances and brightness temperatures. By applying the 10 perturbations to the baseline FCDR radiances and brightness temperatures a user is able to generate 10 sets of new measurements whose variance capture the associated underlying uncertainty distributions contained in the Easy FCDR itself. \r\n\r\nThe FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project AVHRR FCDR improves on existing AVHRR level-1B: in the infrared the calibration has been improved with a measurement function approach such that the data is of better quality (noise has been reduced, outliers have been filtered) the metrologically traceable uncertainties have been derived together with their associated effects, cross-channel correlations and long-term correlation structures have now been calculated from the processed data and are being understood and used to improve data quality and consistency. For the Ensemble product the sensors have been calibrated against the Advanced Along-Track Scanning Radiometer (AATSR) sensor with additional corrections to calibration parameters which make the data better able to derive sea surface temperature estimates that are consistent with theInternational Comprehensive Ocean-Atmosphere Data Set (ICOADS) drifting buoy network. Because the Ensemble has been tuned for Sea Surface Temperature retrieval it should only be used over ocean scenes." }, { "ob_id": 27605, "uuid": "b963913b22fe47caaa39e27dcbf0021e", "short_code": "ob", "title": "FIDUCEO: MVIRI Albedo and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Albedo and Uncertainties demonstration dataset contains the broadband surface albedo as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centered around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe albedo data was retrieved from the MVIRI fundamental climate data record; both were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 115489, 115490, 115488, 115492, 115491, 115495, 115498, 132769, 115493, 115497 ], "onlineresource_set": [ 26798 ], "project_set": [ 27632 ] }, { "ob_id": 27726, "uuid": "fe8eaca1b26042caafd721c7c8333e82", "short_code": "coll", "title": "NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations and Meteoric Ablation Simulator (MASI) experiment data", "abstract": "This dataset collection contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids and Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data.\r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.", "keywords": "NIALL, MASI, experiment, LIF, Laser, CABMOD, meteoroids", "publicationState": "published", "dataPublishedTime": "2019-09-06T14:49:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27725, "uuid": "8120f50827564bd7ae22ee3ac50e6c8f", "short_code": "ob", "title": "NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids", "abstract": "This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids.\r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere." }, { "ob_id": 27719, "uuid": "5f7c65c06317418f8ff0b6881c929153", "short_code": "ob", "title": "NIALL: Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data", "abstract": "This dataset contains Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data, where samples were heated in vacuum chamber with Na and Ni and detected by laser induced fluorescence. The data are Laser induced fluorescence (LIF) profiles of Ni and Na from ablating particles (powdered meteorite or meteorite proxy). \r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 115865, 115866, 115867, 115868, 115870, 115871, 115872, 115876, 115869, 115873, 168897, 115874, 115875 ], "onlineresource_set": [], "project_set": [ 27721 ] }, { "ob_id": 27761, "uuid": "ad2ac0ddd3f34210b0d6e19bfc335539", "short_code": "coll", "title": "UKCP18 Convection-Permitting Model Projections for the UK at 2.2km resolution", "abstract": "Climate model runs at convection-permitting scale for the UK for three time slices (1981-2000, 2021-2040, 2061-2080) produced by the Met Office for UK Climate Projections. The data is available on a 2.2km grid on a rotated pole at various temporal resolutions: hourly (for some variables), 3-hourly (for some variables), daily and longer averages. Additionally, the data has been regridded onto a 5km grid on the Ordnance Survey's British National Grid.\r\n\r\nNote that these data were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the Project News page: https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/ukcp18-project-news/index. The previous version of the data will be retained on CEDA for twelve months until 21st July 2022.", "keywords": "UKCP18, UKCP, Climate, UK, Simulations, CPM, Local, 2.2km", "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 212 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27769, "uuid": "c9ffb25353964ae1ae071de0c46edb08", "short_code": "ob", "title": "UKCP Local Projections by UK Countries for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2 km data regionally averaged for 8 \"country\" regions across the UK including England, England and Wales, Northern Ireland, Scotland, United Kingdom, Wales. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section" }, { "ob_id": 27763, "uuid": "d5822183143c4011a2bb304ee7c0baf7", "short_code": "ob", "title": "UKCP Local Projections at 2.2 km Resolution for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2 km), helping to inform adaptation to a changing climate. \r\n \r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains 2.2 km data for the UK on the 2.2 km rotated pole grid. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." }, { "ob_id": 27775, "uuid": "e304987739e04cdc960598fa5e4439d0", "short_code": "ob", "title": "UKCP Local Projections on a 5km grid over the UK for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n \r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data on a rotated pole regridded onto a 5km grid on the Ordnance Survey's British National Grid. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the\" UKCP Project News page in the documentation section." }, { "ob_id": 27766, "uuid": "e7b0165f3b57409998ca2632dad7a1a3", "short_code": "ob", "title": "UKCP Local Projections by Administrative Regions over the UK for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data regionally averaged to 16 UK Administrative Regions. Further information on this dataset and UKCP18 can be found in the documentation section.\r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." }, { "ob_id": 27772, "uuid": "60280254243844d3a9dcf2368bb45a91", "short_code": "ob", "title": "UKCP Local Projections by UK River Basins for 1980-2080", "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data regionally averaged to 23 UK River Basins. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 116012, 116013, 116014, 116016, 116018, 116015, 146875, 146876, 116017 ], "onlineresource_set": [ 27064, 27325, 27326, 43072 ], "project_set": [ 26111 ] }, { "ob_id": 27791, "uuid": "00b5fc99f9384782976a4453b0148f49", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 4.0 Data", "abstract": "This collection contains version 4.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 4.0 data products held in the CEDA archive covering the period 1997-2018. Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "keywords": "ESA, Ocean Colour, CCI, ECV", "publicationState": "citable", "dataPublishedTime": "2019-11-27T16:38:17", "doiPublishedTime": "2019-11-27T17:15:57", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27800, "uuid": "846a55c8a91b43bba6f3b97aa3e776e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27802, "uuid": "6f891faf986349f792043ebac64f7938", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27805, "uuid": "f56fe5c95e374c1fbaa73dcca8144787", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27798, "uuid": "fa199424852d49f4ba85afddd850eae6", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27799, "uuid": "8fd7c9c728104c209fd88604c2022f26", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27803, "uuid": "eef36ac7c892491aa862097e79827f68", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27797, "uuid": "3200894e4add4049b31f8df132c0d664", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27806, "uuid": "175105e9c36b49d7b98ebf43579c5cdd", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27801, "uuid": "b0b9fb9cd7434323b65bbe1dae0a2e94", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27804, "uuid": "b9269d708e3e413fba6fbf7cb3419b3a", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } ], "identifier_set": [ 10664 ], "responsiblepartyinfo_set": [ 116109, 116110, 116111, 116112, 118406, 116114, 204875, 204876, 116124, 118407, 116117, 116118, 116927, 116119, 116928, 116929, 116930, 116931, 116932, 116115, 116123, 116125, 116126, 116128, 116129, 116130, 116131, 116133, 116135, 116933, 116136, 116137, 116138, 116152, 116153, 116154, 116176, 116132 ], "onlineresource_set": [ 27084, 27087, 27086, 27085, 87551 ], "project_set": [ 13365 ] }, { "ob_id": 27835, "uuid": "a5fc25a8153148b9872f24ab889f64a9", "short_code": "coll", "title": "Climatic Research Unit (CRU): Year-by-Year Variation of Selected Climate Variables by CountrY (CY) v4", "abstract": "The CRU CY datasets consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries. Spatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). The CRU CY datasets produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY is derived directly from the CRU TS dataset and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21 (1901-2012) and the latest version of CRU-CY is v4.03, as it is based on CRU TS v4.03. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014).", "keywords": "CRU, CRU CY, climate, meteorology", "publicationState": "published", "dataPublishedTime": "2019-10-04T13:46:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 103 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30262, "uuid": "58d87204bd974f04b14141eb275f4a1e", "short_code": "ob", "title": "CRU CY4.04: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.04 (Jan. 1901 - Dec. 2019)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.04 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2020 by CRU at the University of East Anglia and extends the CRU CY4.03 data to include 2019. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.04 is derived directly from the CRU time series (TS) 4.04 dataset. CRU CY version 4.04 spans the period 1901-2019 for 292 countries.\r\n\r\nTo understand the CRU CY4.04 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.04. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.04 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 25065, "uuid": "d4e823f0172947c5ae6e6b265656c273", "short_code": "ob", "title": "CRU CY4.01: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.01 (Jan. 1901 - Dec. 2016)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.01 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY4.00 data to include 2016. CRU CY4.01 is a full release, differing only in methodology from the existing current version 3 release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.01 is derived directly from the CRU TS4.01 dataset. CRU CY version 4.01 spans the period 1901-2016 for 289 countries.\r\n\r\nTo understand the CRU CY4.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.01. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.01 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 43120, "uuid": "3b7f475a30a642e9af5323cef748bb00", "short_code": "ob", "title": "CRU CY4.08: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.08 (Jan. 1901 - Dec. 2023)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.08 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2024 by CRU at the University of East Anglia and extends the CRU CY4.07 data to include 2023. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.08 is derived directly from the CRU time series (TS) 4.07 dataset. CRU CY version 4.08 spans the period 1901-2023 for 292 countries.\r\n\r\nTo understand the CRU CY4.08 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.07. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.08 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 40346, "uuid": "def64ef885684e199f03a4c50bc2f8dc", "short_code": "ob", "title": "CRU CY4.07: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.07 (Jan. 1901 - Dec. 2022)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.07 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2023 by CRU at the University of East Anglia and extends the CRU CY4.06 data to include 2022. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.07 is derived directly from the CRU time series (TS) 4.06 dataset. CRU CY version 4.07 spans the period 1901-2022 for 292 countries.\r\n\r\nTo understand the CRU CY4.07 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.06. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.07 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 20374, "uuid": "8b6b52b3a34c4964b35f918555e10ec1", "short_code": "ob", "title": "CRU CY4.00: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.00 (Jan. 1901 - Dec. 2015)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.00 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY3.23 data to include 2015. CRU CY4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.00 is derived directly from the CRU TS4.00 dataset. CRU CY version 4.00 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU CY4.00 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.00. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.00 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 38216, "uuid": "99120ddac5004caa85358f5250e2eece", "short_code": "ob", "title": "CRU CY4.06: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.06 (Jan. 1901 - Dec. 2021)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.06 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2022 by CRU at the University of East Anglia and extends the CRU CY4.06 data to include 2021. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.06 is derived directly from the CRU time series (TS) 4.06 dataset. CRU CY version 4.06 spans the period 1901-2021 for 292 countries.\r\n\r\nTo understand the CRU CY4.06 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.06. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.06 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 27492, "uuid": "d6768285fdc8408bbb9b02bb0f317774", "short_code": "ob", "title": "CRU CY 4.03: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.03 (Jan. 1901 - Dec. 2018)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.03 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2019 by CRU at the University of East Anglia and extends the CRU CY4.02 data to include 2018. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.03 is derived directly from the CRU time series (TS) 4.03 dataset. CRU CY version 4.03 spans the period 1901-2018 for 292 countries.\r\n\r\nTo understand the CRU CY4.03 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.03. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.03 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 32803, "uuid": "7a5529a8758041eb83b9c32f8461e50d", "short_code": "ob", "title": "CRU CY4.05: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.05 (Jan. 1901 - Dec. 2020)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.05 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2021 by CRU at the University of East Anglia and extends the CRU CY4.04 data to include 2020. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.05 is derived directly from the CRU time series (TS) 4.05 dataset. CRU CY version 4.05 spans the period 1901-2020 for 292 countries.\r\n\r\nTo understand the CRU CY4.05 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.05. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.05 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, { "ob_id": 26860, "uuid": "b177c691ce9143729e16faadbdebced8", "short_code": "ob", "title": "CRU CY 4.02: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.02 (Jan. 1901 - Dec. 2017)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.02 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2018 by CRU at the University of East Anglia and extends the CRU CY4.01 data to include 2017. CRU CY4.02 is a full release, differing only in methodology from the existing current version 3 release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.02 is derived directly from the CRU TS4.02 dataset. CRU CY version 4.02 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU CY4.02 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.02. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.02 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117077, 117078, 117079, 117080, 117085, 117087, 117088, 117082, 117081, 117083, 117084, 117086, 117089, 168544, 168545 ], "onlineresource_set": [ 27189, 27190 ], "project_set": [ 6672 ] }, { "ob_id": 27836, "uuid": "a9f7c9d7123b4c3f8e13382d66679d1a", "short_code": "coll", "title": "Met Office Hadley centre global environment model version 2 (HadGEM2) AO Data", "abstract": "The HadGEM2 model is the Met Office Hadley centre global environment model version 2. The Atmospheric resolution of this model is 1.25 degrees latitude by 1.875 degrees with 38 levels (N96L38). The HadGEM2-AO model is a configuration of the HadGEM2 model which is an atmosphere ocean simulation with other component interfaces replaced with ancillary file input. Part of the UK Met Office Hadley Centre's contributions to the fifth assessment report of the IPCC (Intergovernmental Panel on Climate Change) was based on the HadGEM2 model. Specifically, this data were used for the ENSEMBLES EU FP7 project. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats.", "keywords": "", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27837, "uuid": "dbd287f1623e436c9a6ccd5c24d1b8d9", "short_code": "ob", "title": "HadGEM2-AO Historic Anthropogenic experiment model output for the agzka run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The agzka model run was a historic anthropogenic experiment. The boundary conditions of this experiment were as follows: Time-varying from 1859 to 2000, well-mixed greenhouse gases (GHGs), ozone emissions datasets, sulphate and carbonaceous aerosols, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28034, "uuid": "b41ecbaec15d4d5c8136dadd74cfc289", "short_code": "ob", "title": "HadGEM2-AO SRES A1B IMAGE scenario experiment model output for the aiklc run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The aiklc model run was a Special Report on Emissions Scenarios (SRES) experiment. The A1 scenarios are of an integrated world with the B subset specifically focussing on a balanced emphasis on all energy sources (as opposed to an emphasis on fossil fuels/non-fossil fuel energy sources). The aiklc run specifically had additional aerosol diagnostics and model evolution. The boundary conditions of this experiment were as follows: Time-varying from 1999 to 2100, well-mixed greenhouse gases (GHGs), ozone emissions datasets, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28032, "uuid": "01d5e3952b20487da6c216f73d2b7211", "short_code": "ob", "title": "HadGEM2-AO SRES A1B scenario experiment model output for the ahnde run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The ahnde model run was a Special Report on Emissions Scenarios (SRES) experiment. The A1 scenarios are of an integrated world with the B subset specifically focussing on a balanced emphasis on all energy sources (as opposed to an emphasis on fossil fuels/non-fossil fuel energy sources). The ahnde run specifically had additional aerosol diagnostics and model evolution. The boundary conditions of this experiment were as follows: Time-varying from 1999 to 2100, well-mixed greenhouse gases (GHGs), ozone emissions datasets, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28012, "uuid": "2f18815023fb47c5905fe1423866a680", "short_code": "ob", "title": "HadGEM2-AO SRES A1B scenario experiment model output for the ahhpa run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The ahhpa model run was a Special Report on Emissions Scenarios (SRES) experiment. The A1 scenarios are of an integrated world with the B subset specifically focussing on a balanced emphasis on all energy sources (as opposed to an emphasis on fossil fuels/non-fossil fuel energy sources). The boundary conditions of this experiment were as follows: Time-varying from 1999 to 2100, well-mixed greenhouse gases (GHGs), ozone emissions datasets, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28015, "uuid": "c6597fe4e98945b0b50e33fb74e79235", "short_code": "ob", "title": "HadGEM2-AO SRES E1 scenario experiment model output for the ahisb run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The ahisb model run was a Special Report on Emissions Scenarios (SRES) experiment. The E1 scenario follows a pathway towards eventual stabilisation of atmospheric CO2 equivalent at 450 ppmv in the 22nd century after an overshoot just above 500 ppmv in the mid 21st century. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28030, "uuid": "cd07553227e443249fea76fd24d7991d", "short_code": "ob", "title": "HadGEM2-AO SRES E1 scenario experiment model output for the ahisj run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The ahisb model run was a Special Report on Emissions Scenarios (SRES) experiment. The E1 scenario follows a pathway towards eventual stabilisation of atmospheric CO2 equivalent at 450 ppmv in the 22nd century after an overshoot just above 500 ppmv in the mid 21st century. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." }, { "ob_id": 28010, "uuid": "cf22624d09af4402928742c352853ecf", "short_code": "ob", "title": "HadGEM2-AO Historic Anthropogenic experiment model output for the agzkb run", "abstract": "These data were produced to contribute towards the EU ENSEMBLES project. The agzkb model run was a historic anthropogenic experiment. The boundary conditions of this experiment were as follows: Time-varying from 1859 to 2000, well-mixed greenhouse gases (GHGs), ozone emissions datasets, sulphate and carbonaceous aerosols, land surface/vegetation, constant volcanic stratospheric aerosols & Solar irradiance. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117091, 117092, 117090, 117096, 117097, 117098, 117095, 117093, 148549 ], "onlineresource_set": [ 27196, 27197, 27198, 27199, 27200, 27201 ], "project_set": [ 33048 ] }, { "ob_id": 27849, "uuid": "c3f9945f1c1041f6a20b98940db27335", "short_code": "coll", "title": "ARNA: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM Atmospheric Reactive Nitrogen Cycling over the Ocean (ARNA)", "keywords": "ARNA-1, ARNA, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2019-09-27T09:23:28", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30157, "uuid": "e348a87aa8a542ff9cb002aa6281ee21", "short_code": "ob", "title": "FAAM C221 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 30153, "uuid": "f3e02a96702b45e4aa0c97e8a8850a83", "short_code": "ob", "title": "FAAM C219 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 30165, "uuid": "3c1200a8f48646eb9a611700b32a50a8", "short_code": "ob", "title": "FAAM C225 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 27853, "uuid": "0fade1773d0a486faf54444874bff851", "short_code": "ob", "title": "FAAM C208 ARNA-1 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM ARNA : Details to come (ARNA-1) project." }, { "ob_id": 27851, "uuid": "84d5431dc941424ea60ac720c77ce76e", "short_code": "ob", "title": "FAAM C207 ARNA-1 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM ARNA : Details to come (ARNA-1) project." }, { "ob_id": 30155, "uuid": "303d3c3e00334d1db3a5cf18c1df5419", "short_code": "ob", "title": "FAAM C220 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 30161, "uuid": "c5598cce3784411c84124e541d5756f2", "short_code": "ob", "title": "FAAM C223 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 27855, "uuid": "12bdc334b4fc437bb2467db90b7642ec", "short_code": "ob", "title": "FAAM C209 ARNA-1 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM ARNA : Details to come (ARNA-1) project." }, { "ob_id": 30150, "uuid": "378f3bd6874f40f0b58072ebbb77d1f8", "short_code": "ob", "title": "FAAM C218 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 27848, "uuid": "fa304af6d7004b158fa737da9fc56067", "short_code": "ob", "title": "FAAM C206 ARNA-1 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM ARNA : Details to come (ARNA-1) project." }, { "ob_id": 30159, "uuid": "76bf214f2f074575839c09418c240312", "short_code": "ob", "title": "FAAM C222 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." }, { "ob_id": 30163, "uuid": "b96d71991fa1421280df63ea05ca58ec", "short_code": "ob", "title": "FAAM C224 ARNA-2 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ARNA-2 FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117158, 117159, 117160, 117163, 117164, 117165, 117166, 117167, 117161, 117162 ], "onlineresource_set": [], "project_set": [ 26082 ] }, { "ob_id": 27869, "uuid": "92c6e73f70b54c4ea8eae0389e09f24e", "short_code": "coll", "title": "HyVic: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for HYVIC FAAM Aircraft Project (HyVic).", "keywords": "HyVic, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27868, "uuid": "f43ed4824e4d468a955f92c31108852c", "short_code": "ob", "title": "FAAM C130 HyVic flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for HYVIC FAAM Aircraft Project (HyVic) project." }, { "ob_id": 27871, "uuid": "44c76131c87f4081a374cd33179eee9c", "short_code": "ob", "title": "FAAM C131 HyVic flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for HYVIC FAAM Aircraft Project (HyVic) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117261, 117262, 117263, 117266, 117267, 117268, 117269, 117270, 117264, 117265 ], "onlineresource_set": [], "project_set": [ 27866 ] }, { "ob_id": 27881, "uuid": "e489099fb2844a1192036a6323238ef4", "short_code": "coll", "title": "Zwamps: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for ZWAMPS FAAM Aircraft Project (Zwamps).", "keywords": "Zwamps, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:01", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27883, "uuid": "81e84f1e19364f5abb9e6352cf4b87d1", "short_code": "ob", "title": "FAAM C136 Zwamps flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ZWAMPS FAAM Aircraft Project (Zwamps) project." }, { "ob_id": 27887, "uuid": "da2c8c34e87744219cbc489e06804dd4", "short_code": "ob", "title": "FAAM C138 Zwamps flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ZWAMPS FAAM Aircraft Project (Zwamps) project." }, { "ob_id": 27885, "uuid": "ade44dd8591342cdbc6cebaf7cf10315", "short_code": "ob", "title": "FAAM C137 Zwamps flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ZWAMPS FAAM Aircraft Project (Zwamps) project." }, { "ob_id": 27880, "uuid": "4ee223ea3e9f4366b9200cfa1fe359d2", "short_code": "ob", "title": "FAAM C135 Zwamps Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ZWAMPS FAAM Aircraft Project (Zwamps) project." }, { "ob_id": 30617, "uuid": "0b7821d872fd4ea997c58e08afd3ec07", "short_code": "ob", "title": "ZWAMPS: Isotopic d13C methane measurements taken from, Zambia 2019", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples around Zambia. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the ZWAMPS: Quantifying methane emissions in remote tropical settings: a new 3D approach project funded by the Natural Environment Research Council (NERC) NE/S00159X/1." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117324, 117325, 117326, 117329, 117330, 117331, 117332, 117333, 117327, 117328 ], "onlineresource_set": [], "project_set": [ 27878 ] }, { "ob_id": 27906, "uuid": "28e3c9851c3144f9a0ea482f0ebef0af", "short_code": "coll", "title": "AEOG-3: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3).", "keywords": "AEOG-3, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:03", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27908, "uuid": "0bbc9153d247469e8a4c5ce400c3752f", "short_code": "ob", "title": "FAAM C148 AEOG-3 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3) project." }, { "ob_id": 27905, "uuid": "3dce6cba375c4c9e934119f4c9057b02", "short_code": "ob", "title": "FAAM C147 AEOG-3 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3) project." }, { "ob_id": 27910, "uuid": "dbeaa77c8dc44dd484bf18c832b7a48a", "short_code": "ob", "title": "FAAM C149 AEOG-3 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3) project." }, { "ob_id": 27914, "uuid": "8aebb6ad2a944b5cac83de82756750f5", "short_code": "ob", "title": "FAAM C151 AEOG-3 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3) project." }, { "ob_id": 27912, "uuid": "18c2ea3d326f470a8c2393f08b05467e", "short_code": "ob", "title": "FAAM C150 AEOG-3 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 117454, 117455, 117456, 117459, 117460, 117461, 117462, 117463, 117457, 117458 ], "onlineresource_set": [], "project_set": [ 27738 ] }, { "ob_id": 28029, "uuid": "9ef0ebf847564c2eabe62cac4899ec41", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Version 1.8 data collection", "abstract": "These data comprise v1.8 of the Sea Surface Salinity (SSS) Essential Climate Variable (ECV) dataset produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The ESA CCI Sea Surface Salinity ECV data have been produced at a spatial resolution of 50 km and spatiallly resampled on a 25km EASE (Equal Area Scalable Earth) grid and a) with a time resolution of 1 week and 1 day of time sampling and b) a time resolution of 1 month and 15 days of time sampling.\r\n\r\nThis first version (v1.8) of the CCI+SSS products is a preliminary version issued for evaluation purposes by voluntary scientists and for framing future CCI+SSS products. This product has not been fully validated yet and may contain flaws. In case you discover some, the CCI Sea Surface Salinity project (Mngt_CCI-Salinity@argans.co.uk) are very keen to get your feedback. In case you would like to use them in a presentation or publication, please be aware of the following caveats:\r\n\r\nCAVEATS\r\n\r\n- The SSS random error in the weekly product is overestimated by a factor ~1.4. \r\n- The Number of outliers is wrongly set to 'NaN' in the case where it is equal to zero.\r\n- Products have not yet been not optimised for some issues encountered at high latitudes (i.e. remaining ice, RFI pollution, biases due to land-sea contamination and dielectric constant in cold waters).\r\n- The criteria for flagging data close to land (including islands) are conservative and likely to be too restrictive in places. \r\n- There is a systematic global underestimation (-0.08) of SSS starting at the beginning of the data set, and gradually disappearing at the end of 2010.\r\n- There is a seasonal varying bias (~0.1, peaking in the middle of the year) in the Pacific North of 25°N\".\r\n\r\nAcknowledgements: The authors thank the CCI+ SSS validation team, in particular S. Guimbard (ODL) and A. Martin (NOC), for their feedback on the products, R. Catany (ARGANS) for managing the project and P. Cipollini and C. Donlon (ESA) for their sound advice.", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "citable", "dataPublishedTime": "2019-11-21T16:39:29", "doiPublishedTime": "2019-11-25T09:45:52", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28123, "uuid": "e5666094722c4ca787e323a9585b0a92", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly Sea Surface Salinity product v1.8", "abstract": "This dataset provides Sea Surface Salinity (SSS) data derived as part of the European Space Agency (ESA) Climate Change Initiative (CCI) programme. In this product the data has been produced at a spatial resolution of 50km and a time resolution of 1 week. This has then been spatially resampled on a 25km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available.\r\n\r\nThis first version of the CCI+SSS products is a preliminary version issued for evaluation purposes by voluntary scientists and for framing future CCI+SSS products. This product has not been fully validated yet and may contain flaws. In case you discover some, the CCI salinity team (Mngt_CCI-Salinity@argans.co.uk) are very keen to get your feedback. In case you would like to use them in a presentation or publication, please be aware of the following caveats:\r\n\r\nCAVEATS\r\n\r\n- The SSS random error in the weekly product is overestimated by a factor ~1.4. \r\n- The Number of outliers is wrongly set to 'NaN' in the case where it is equal to zero. \r\n- Products have not yet been not optimised for some issues encountered at high latitudes (i.e. remaining ice, RFI pollution, biases due to land-sea contamination and dielectric constant in cold waters).\r\n- The criteria for flagging data close to land (including islands) are conservative and likely to be too restrictive in places. \r\n- There is a systematic global underestimation (-0.08) of SSS starting at the beginning of the data set, and gradually disappearing at the end of 2010.\r\n- There is a seasonal varying bias (~0.1, peaking in the middle of the year) in the Pacific North of 25°N.\r\n\r\nAcknowledgements: The authors thank the CCI+ SSS validation team, in particular S. Guimbard (ODL) and A. Martin (NOC), for their feedback on the products, R. Catany (ARGANS) for managing the project and P. Cipollini and C. Donlon (ESA) for their sound advice." }, { "ob_id": 28233, "uuid": "aea368301bff448bbbea7e90e66819e5", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly Sea Surface Salinity product v1.8", "abstract": "This dataset provides monthly Sea Surface Salinity (SSS) data derived as part of the European Space Agency (ESA) Climate Change Initiative (CCI) programme. In this product the data has been produced at a spatial resolution of 25km and a time resolution of 1 month. This has then been spatially resampled on a 25km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. A monthly product is also available.\r\n\r\nThis first version of the CCI+SSS products is a preliminary version issued for evaluation purposes by voluntary scientists and for framing future CCI+SSS products. This product has not been fully validated yet and may contain flaws. In case you discover some, the CCI salinity team (Mngt_CCI-Salinity@argans.co.uk) are very keen to get your feedback. In case you would like to use them in a presentation or publication, please be aware of the following caveats:\r\n\r\nCAVEATS\r\n\r\n- The SSS random error in the weekly product is overestimated by a factor ~1.4. \r\n- The Number of outliers is wrongly set to 'NaN' in the case where it is equal to zero. \r\n- Products have not yet been not optimised for some issues encountered at high latitudes (i.e. remaining ice, RFI pollution, biases due to land-sea contamination and dielectric constant in cold waters).\r\n- The criteria for flagging data close to land (including islands) are conservative and likely to be too restrictive in places. \r\n- There is a systematic global underestimation (-0.08) of SSS starting at the beginning of the data set, and gradually disappearing at the end of 2010.\r\n- There is a seasonal varying bias (~0.1, peaking in the middle of the year) in the Pacific North of 25°N.\r\n\r\nAcknowledgements: The authors thank the CCI+ SSS validation team, in particular S. Guimbard (ODL) and A. Martin (NOC), for their feedback on the products, R. Catany (ARGANS) for managing the project and P. Cipollini and C. Donlon (ESA) for their sound advice." } ], "identifier_set": [ 10663 ], "responsiblepartyinfo_set": [ 118025, 118027, 118028, 118029, 118030, 118032, 118044, 118031, 118045, 118046, 118047, 118048 ], "onlineresource_set": [ 27688, 36980, 89394, 89395, 89396, 89390, 89391, 89392, 89393, 89397, 89398, 89399, 87712, 87713, 87714, 87715 ], "project_set": [ 28235 ] }, { "ob_id": 28048, "uuid": "56c03beb2e11472d87d547ea53c95f51", "short_code": "coll", "title": "Meteorological observations recovered by the Weather Rescue project", "abstract": "This dataset contains meteorological observations rescued by different phases of the Weather Rescue project. They include hourly observations taken on Ben Nevis and in the town of Fort William between 1883 and 1904, and observations from the UK, Ireland and mainland Europe recorded in the Met Office's Daily Weather Report from 1900-1910. Variables available include: atmospheric pressure, temperature, wind speed and rainfall.", "keywords": "Weather Rescue, meteorology, reports, Ben Nevis", "publicationState": "published", "dataPublishedTime": "2019-10-24T12:34:12", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 27035, "uuid": "1d29816cee7e4fb586b80a3f7debcb8e", "short_code": "ob", "title": "Meteorological Observations taken from Ben Nevis and Fort William (1883 -1904)", "abstract": "This dataset contains meteorological observations taken from Ben Nevis and Fort William (1883 -1904). These records were produced as part of the Operation Weather Rescue project. \r\n\r\nBetween 1883 and 1904, detailed meteorological observations were taken at the summit of Ben Nevis (56.80N, 5.00W, 1345m elevation) and in the town of Fort William (56.81N, 5.12W, 13m elevation). Hourly observations include temperature (both wet and dry bulb), rainfall, atmospheric pressure at both locations. Daily observations include minimum and maximum temperatures and rainfall. Additional observations taken at Fort William School during the same period are also included. Units are Celsius for temperature, mm for rainfall and mb for pressure.\r\n\r\nV2 is the latest version." }, { "ob_id": 28050, "uuid": "235ff4a040854dcd8dfb754bbb898479", "short_code": "ob", "title": "Met Office daily weather reports 1900-1910", "abstract": "This dataset contains meteorological observations taken from 72 locations around Great Britain, Ireland and Europe published in the 1900-1910 Met Office Daily Weather Reports (DWRs). These records were produced as part of the Operation Weather Rescue project.\r\n\r\nTwice daily observations of mean sea level pressure and dry bulb temperature, along with daily wet bulb, maximum and minimum temperatures and total rainfall, were sent to the Met Office via telegraph for publication the DWRs. Some of the locations cover the entire 11 year period whereas others stopped reporting and may have been replaced by another location, and some locations were included in the DWRs from a later date. Additional observations of mean sea level pressure, dry bulb temperature and wet bulb temperature at 2pm are included for 1900 but these observations were no longer included in the DWRs after 1900. From November 1908 the German stations replaced wet bulb temperature with relative humidity.\r\n\r\nThe data is stored in two formats: in daily csv files with observations for each station and in Station Exchange Format (SEF) files for each station in separate variables. SEF is a human-readable text format saved as .tsv (tab separated values). In the csv files units are inches of mercury (inHg) for mean sea level pressure, degrees Fahrenheit (F) for all temperature variables, inches for rainfall and percent (%) for relative humidity. In the SEF files the units are hectopascals (hPa) for mean sea level pressure, degrees Celsius (C) for all temperature variables, millimetres (mm) for rainfall and percent for relative humidity." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 118112, 118114, 118115, 118116, 118117, 118119, 118120, 118121, 118118, 118113, 168797 ], "onlineresource_set": [], "project_set": [ 27037 ] }, { "ob_id": 28110, "uuid": "001b9640fdb1453aa95a222ba423580e", "short_code": "coll", "title": "Disdrometer Verification Network (DiVeN) data collection: particle diameter and fall velocity measurements from a UK-wide network of disdrometers and supporting measurements from Chilbolton", "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community. See dataset for further details.\r\n\r\nThis collection not only holds the disdrometer data collected for the DiVeN project, but links to supporting observations from the Chilbolton Facility for Radio Research (CFARR) in Hampshire made use of by the project.", "keywords": "disdrometer, rainfall, precipitation, verification, hydrometeors", "publicationState": "published", "dataPublishedTime": "2019-10-31T14:28:44", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 3482, "uuid": "614747245770927bbe7565b690945ec3", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Multiple Raingauges Data, Chilbolton Site", "abstract": "Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 2001 to the present at Chilbolton, Hampshire. The dataset contains measurements of rainfall accumulation as measured by multiple instruments." }, { "ob_id": 3611, "uuid": "e490cd13d86d832bd2d62f1650d7b265", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Campbell Scientific PWS100 present weather sensor data", "abstract": "The Campbell Scientific PWS100 present weather sensor deployed at the Chilbolton Observatory, Hampshire, detects and classifies precipitation by observing the scattering of a laser beam 20 degrees off the forward direction in the horizontal and vertical planes. The detected signals depend on the size, shape, optical properties, concentration and velocity of the particles. The instrument is mounted approximately 10m above ground on the roof of a cabin at the Chilbolton Observatory site. It is operated continuously. Data include: counts as a function of size of hydrometeors in 300 bins from 0.1 to 30.0 mm, the number of hydrometeors in 9 type categories. visibility, air temperature, relative humidity, rainfall rate, rainfall accumulation, average hydrometeor velocity, average hydrometeor size and reports the World Meteorological Organisation (WMO) present weather code for the site. Data are archived as netCDF files." }, { "ob_id": 3531, "uuid": "aac5f8246987ea43a68e3396b530d23e", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer Data, Chilbolton Site", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of April 2003 to the present at Chilbolton, Hampshire. The dataset contains measurements of the drop size distribution of rain." }, { "ob_id": 3489, "uuid": "bf49f0ad8afe1eff425346777c590146", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Drop Counting Raingauge Data, Chilbolton Site", "abstract": "Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 1st of May 1995 to the present at Chilbolton, Hampshire.\r\n\r\nThe dataset contains measurements of rainfall accumulation as measured by RAL Rapid Response Drop Counting rain gauges." }, { "ob_id": 27596, "uuid": "602f11d9a2034dae9d0a7356f9aeaf45", "short_code": "ob", "title": "The Disdrometer Verification Network (DiVeN): particle diameter and fall velocity measurements from a network of Thies Laser Precipitation Monitors around the UK (2017-2019)", "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community.\r\n\r\nEvery Thies LPM is able to designate each observed hydrometeor into one of 20 diameter bins from >= 0.125 mm to > 8 mm, and one of 22 speed bins from > 0.0 m s-1 to > 20.0 m s-1. A laser and diode receiver operate in tandem; a falling particle will occlude the beam. The duration of the occlusion and the maximum extent (measured by diode voltage) determines the fall velocity and diameter respectively. Using empirically-derived relationships, the instrument classifies precipitation into one of 11 possible hydrometeor classes in the form of a 'present weather code', with an associated indicator of uncertainty. To provide immediate feedback to data users, the observations are plotted in near real time (NRT) and made publicly available on a website within 7 minutes (see linked documentation section). A 'present weather code' is a World Meteorological Organisation (WMO) code used to define the present observatory weather (see linked documentation for the WMO present weather code list).\r\n\r\nThe instruments belonged to the Met Office but were loaned to the National Centre for Atmospheric Science (NCAS) for the duration of the project. NCAS handle the receiving server for real-time DiVeN data, which is the only route to this dataset. On-site collection of data are not guaranteed in all circumstances. Some of the sites rely on unreliable O2 3G dongles; whilst the Feshie instrument was solar and wind powered and the Coverhead instrument suffered from power / connectivity issues. Any missing data can be explained by these reasons, and are handled appropriately in the files. The data were collated into daily files of 1440 minutes. More information can be found in Pickering et al., 2018, see related documentation." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 118324, 118325, 118326, 118327, 118328, 118329, 118332, 118333, 118330, 118334, 118331, 118335, 118336, 118337 ], "onlineresource_set": [ 27380, 27379, 27381, 27382, 27383 ], "project_set": [ 27595 ] }, { "ob_id": 28268, "uuid": "666320d5c4ac4b949a55695bfedf3958", "short_code": "coll", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Beijing Climate Center (BCC) BCC-ESM1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, BCC, BCC-ESM1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28270, "uuid": "f74c51fff15044f7b4633eeb3b4535b5", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"histSST-piCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical SSTs and historical forcing, but with pre-industrial methane concentrations\" (histSST-piCH4) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33473, "uuid": "5a06a938d202430cb25e1a6156da4e83", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon and Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28654, "uuid": "e744862f5aab49c9b281396c5db14ca4", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERhr, Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28279, "uuid": "40d2ea2a547e422784e0332258bf706a", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piClim-NTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NTCF emissions\" (piClim-NTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28266, "uuid": "d2f356f56a3f4d4fb3e245ef6108a30f", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28844, "uuid": "c142efc818c34bdfb3630c174cfaba16", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28915, "uuid": "28deebaec6f447569569f27e1225ccdf", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28912, "uuid": "fbf73c27b512432989c8726c46038d25", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28918, "uuid": "e36b99f52c004f1fb86e4927a8c02bd7", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28848, "uuid": "45b44db643d744fc9d1000b27b5744aa", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28909, "uuid": "5e6c5f7f61f0478fb3f9019b329c6b77", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28838, "uuid": "051541f8f6f04526a2cc5063a471e941", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"hist-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical forcing, but with pre-industrial NTCF emissions\" (hist-piNTCF) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28284, "uuid": "5f15b1f2e4fe4fe9a97fc0e6b6d9a198", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"ssp370SST-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions\" (ssp370SST-lowNTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28851, "uuid": "1ce8499ce63a4e1db47b6f6a0ee2f844", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"ssp370-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"SSP3-7.0, with low NTCF emissions\" (ssp370-lowNTCF) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28273, "uuid": "c60ab95a247149a2a67044d2776d95bc", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"histSST-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28276, "uuid": "30af661df71b4600baf662f6e3e7eb2c", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piClim-CH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 methane concentrations (including chemistry)\" (piClim-CH4) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28281, "uuid": "cff31417b9554a59b138e0f8a812619c", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"ssp370SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 119335, 119336, 119337, 119338, 119339, 119341, 119342, 119343, 119344, 119340, 164787, 164788 ], "onlineresource_set": [ 27767, 27768, 49098 ], "project_set": [ 28265 ] }, { "ob_id": 28290, "uuid": "d424bd5ea95c442ea259a4fa109798d9", "short_code": "coll", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output collection", "abstract": "The the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the CNRM-CERFACS team CNRM-ESM2-1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CNRM-CERFACS, CNRM-ESM2-1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28701, "uuid": "7af5e100d9df40089800fb070a461c78", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"esm-piControl-spinup\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial control simulation with CO2 concentration calculated (spin-up)\" (esm-piControl-spinup) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28689, "uuid": "f34427197fa14a37a2cd6060e8b47149", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28301, "uuid": "87236b396c4444319175a86a3ecedfe1", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"histSST-piCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical SSTs and historical forcing, but with pre-industrial methane concentrations\" (histSST-piCH4) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28707, "uuid": "d4f5c1cba03248a998bd6c177faf1152", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Efx, LImon, Lmon, Oday, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29522, "uuid": "d84169c9b49d48f9ab360a892f08a565", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29694, "uuid": "cdbdc22e1e7b4aff963747c65522fe1a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, AERmonZ, Amon, E1hr, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28333, "uuid": "8d4cd1c29ae04c03baa1cda6c4408ffc", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-OC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28318, "uuid": "22b279043d7c431cb070ef3f001961cb", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-BC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 black carbon emissions\" (piClim-BC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34080, "uuid": "8c5a61db29464d339b0f82bc768197d8", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29537, "uuid": "d2c395a4a576457ca686ff71db1a7a0d", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28330, "uuid": "e3066dd317ba4986836103f8cfec1e16", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-NTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NTCF emissions\" (piClim-NTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28687, "uuid": "8fea808ee0fc45f1bac3e7530684a669", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2 and r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28298, "uuid": "42e3a777669545be9e03953fab83825f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28336, "uuid": "bab08b7904d5481688938f314a6672ba", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-SO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28449, "uuid": "f58c1513dd5c41c581b764a0f7e353f6", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34083, "uuid": "8ed5f88dfe754cc08e45200963e909f2", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28327, "uuid": "5b5bc331e4514635b34f63c0d9c0c05d", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-N2O\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 N2O concentrations (including chemistry)\" (piClim-N2O) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28288, "uuid": "2461727b671e48fc8143235d30a01a79", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"hist-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical forcing, but with1950s halocarbon concentrations; initialized in 1950\" (hist-1950HC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29679, "uuid": "c773e71df231422488c6c01727975391", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, AERmon, AERmonZ, Amon, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29369, "uuid": "a99adb0095764a498299b16811b32c11", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28324, "uuid": "016de39805ef4715a3b9d38f9a1d5a2f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 halocarbon concentrations (including chemistry)\" (piClim-HC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29682, "uuid": "bee9d8a08e5b4d15ac0f95e29f8d6302", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E1hr, E3hr, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29676, "uuid": "bf8341ba8a1742aa8758bb728963242d", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, AERmonZ, Amon, E1hr, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28710, "uuid": "a7843e9ae5304ee6a8176fe2256d5d15", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piControl-spinup\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial control (spin-up)\" (piControl-spinup) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28295, "uuid": "51d4d3fb007c415793f1eab4f9062b9f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"histSST-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical SSTs and historical forcing, but with 1950 halocarbon concentrations. Experiment is initialized from histSST (AerChemMIP) simulation from January 1950\" (histSST-1950HC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29691, "uuid": "82f3c3e7175c4cb5a12d4e21bf163092", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28304, "uuid": "f45bd04927ac49c99720b5abfdd0c23a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"histSST-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29528, "uuid": "a9e8fcd045f24593bf8838cda7b86758", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequency: Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28698, "uuid": "8fafd4f382bf4018af41b5414244e4e2", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28704, "uuid": "ecb09e67e6eb44cdb6dfc8013bbdb960", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E1hr, E3hr, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28339, "uuid": "9a848f0626124efaa9a2d66b08ed7495", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp370-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"SSP3-7.0, with low NTCF emissions\" (ssp370-lowNTCF) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28292, "uuid": "08726391c91c4c1da5cf82338e96801f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"hist-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical forcing, but with pre-industrial NTCF emissions\" (hist-piNTCF) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28695, "uuid": "03e02d94425c4ac9aabb0baba04bd3ee", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28310, "uuid": "f07b2f94e6064698a18367317f454f71", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-2xdust\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of dust\" (piClim-2xdust) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28312, "uuid": "54a46625ee6f4095a49a71139da70c93", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-2xfire\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions from fires\" (piClim-2xfire) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28446, "uuid": "fc2af6b8d33e4f85870d380d65ff6e97", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28315, "uuid": "bfbda338e46c498a954fce35d3f7c65e", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-2xss\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of sea salt\" (piClim-2xss) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28342, "uuid": "2ee5c29cd02e4ffe8167247221e7a68a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp370SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29531, "uuid": "347bda2469c9411faba54f9fa748b2fe", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29423, "uuid": "dae90ce6d40f4b6e95588f3bcd1e5145", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28692, "uuid": "a4773f0b42254ae7b1424172d5ec256a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, AERhr, Amon, CFsubhr, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29534, "uuid": "00404749eed64e319432ff8ed1813cf1", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28307, "uuid": "9bacfa4c89a24b34b445621c2f95eb51", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-2xDMS\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of DMS\" (piClim-2xDMS) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38850, "uuid": "cc3c8f33e2194f1cbd430811da88a213", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: s1960-r1i1p1f2, s1960-r3i1p1f2, s1960-r5i1p1f2, s1960-r7i1p1f2, s1960-r9i1p1f2, s1961-r10i1p1f2, s1961-r2i1p1f2, s1961-r4i1p1f2, s1961-r6i1p1f2, s1961-r8i1p1f2, s1962-r1i1p1f2, s1962-r3i1p1f2, s1962-r5i1p1f2, s1962-r7i1p1f2, s1962-r9i1p1f2, s1963-r10i1p1f2, s1963-r2i1p1f2, s1963-r4i1p1f2, s1963-r6i1p1f2, s1963-r8i1p1f2, s1964-r1i1p1f2, s1964-r3i1p1f2, s1964-r5i1p1f2, s1964-r7i1p1f2, s1964-r9i1p1f2, s1965-r10i1p1f2, s1965-r2i1p1f2, s1965-r4i1p1f2, s1965-r6i1p1f2, s1965-r8i1p1f2, s1966-r1i1p1f2, s1966-r3i1p1f2, s1966-r5i1p1f2, s1966-r7i1p1f2, s1966-r9i1p1f2, s1967-r10i1p1f2, s1967-r2i1p1f2, s1967-r4i1p1f2, s1967-r6i1p1f2, s1967-r8i1p1f2, s1968-r1i1p1f2, s1968-r3i1p1f2, s1968-r5i1p1f2, s1968-r7i1p1f2, s1968-r9i1p1f2, s1969-r10i1p1f2, s1969-r2i1p1f2, s1969-r4i1p1f2, s1969-r6i1p1f2, s1969-r8i1p1f2, s1970-r1i1p1f2, s1970-r3i1p1f2, s1970-r5i1p1f2, s1970-r7i1p1f2, s1970-r9i1p1f2, s1971-r10i1p1f2, s1971-r2i1p1f2, s1971-r4i1p1f2, s1971-r6i1p1f2, s1971-r8i1p1f2, s1972-r1i1p1f2, s1972-r3i1p1f2, s1972-r5i1p1f2, s1972-r7i1p1f2, s1972-r9i1p1f2, s1973-r10i1p1f2, s1973-r2i1p1f2, s1973-r4i1p1f2, s1973-r6i1p1f2, s1973-r8i1p1f2, s1974-r1i1p1f2, s1974-r3i1p1f2, s1974-r5i1p1f2, s1974-r7i1p1f2, s1974-r9i1p1f2, s1975-r10i1p1f2, s1975-r2i1p1f2, s1975-r4i1p1f2, s1975-r6i1p1f2, s1975-r8i1p1f2, s1976-r1i1p1f2, s1976-r3i1p1f2, s1976-r5i1p1f2, s1976-r7i1p1f2, s1976-r9i1p1f2, s1977-r10i1p1f2, s1977-r2i1p1f2, s1977-r4i1p1f2, s1977-r6i1p1f2, s1977-r8i1p1f2, s1978-r1i1p1f2, s1978-r3i1p1f2, s1978-r5i1p1f2, s1978-r7i1p1f2, s1978-r9i1p1f2, s1979-r10i1p1f2, s1979-r2i1p1f2, s1979-r4i1p1f2, s1979-r6i1p1f2, s1979-r8i1p1f2, s1980-r1i1p1f2, s1980-r3i1p1f2, s1980-r5i1p1f2, s1980-r7i1p1f2, s1980-r9i1p1f2, s1981-r10i1p1f2, s1981-r2i1p1f2, s1981-r4i1p1f2, s1981-r6i1p1f2, s1981-r8i1p1f2, s1982-r1i1p1f2, s1982-r3i1p1f2, s1982-r5i1p1f2, s1982-r7i1p1f2, s1982-r9i1p1f2, s1983-r10i1p1f2, s1983-r2i1p1f2, s1983-r4i1p1f2, s1983-r6i1p1f2, s1983-r8i1p1f2, s1984-r1i1p1f2, s1984-r3i1p1f2, s1984-r5i1p1f2, s1984-r7i1p1f2, s1984-r9i1p1f2, s1985-r10i1p1f2, s1985-r2i1p1f2, s1985-r4i1p1f2, s1985-r6i1p1f2, s1985-r8i1p1f2, s1986-r1i1p1f2, s1986-r3i1p1f2, s1986-r5i1p1f2, s1986-r7i1p1f2, s1986-r9i1p1f2, s1987-r10i1p1f2, s1987-r2i1p1f2, s1987-r4i1p1f2, s1987-r6i1p1f2, s1987-r8i1p1f2, s1988-r1i1p1f2, s1988-r3i1p1f2, s1988-r5i1p1f2, s1988-r7i1p1f2, s1988-r9i1p1f2, s1989-r10i1p1f2, s1989-r2i1p1f2, s1989-r4i1p1f2, s1989-r6i1p1f2, s1989-r8i1p1f2, s1990-r1i1p1f2, s1990-r3i1p1f2, s1990-r5i1p1f2, s1990-r7i1p1f2, s1990-r9i1p1f2, s1991-r10i1p1f2, s1991-r2i1p1f2, s1991-r4i1p1f2, s1991-r6i1p1f2, s1991-r8i1p1f2, s1992-r1i1p1f2, s1992-r3i1p1f2, s1992-r5i1p1f2, s1992-r7i1p1f2, s1992-r9i1p1f2, s1993-r10i1p1f2, s1993-r2i1p1f2, s1993-r4i1p1f2, s1993-r6i1p1f2, s1993-r8i1p1f2, s1994-r1i1p1f2, s1994-r3i1p1f2, s1994-r5i1p1f2, s1994-r7i1p1f2, s1994-r9i1p1f2, s1995-r10i1p1f2, s1995-r2i1p1f2, s1995-r4i1p1f2, s1995-r6i1p1f2, s1995-r8i1p1f2, s1996-r1i1p1f2, s1996-r3i1p1f2, s1996-r5i1p1f2, s1996-r7i1p1f2, s1996-r9i1p1f2, s1997-r10i1p1f2, s1997-r2i1p1f2, s1997-r4i1p1f2, s1997-r6i1p1f2, s1997-r8i1p1f2, s1998-r1i1p1f2, s1998-r3i1p1f2, s1998-r5i1p1f2, s1998-r7i1p1f2, s1998-r9i1p1f2, s1999-r10i1p1f2, s1999-r2i1p1f2, s1999-r4i1p1f2, s1999-r6i1p1f2, s1999-r8i1p1f2, s2000-r1i1p1f2, s2000-r3i1p1f2, s2000-r5i1p1f2, s2000-r7i1p1f2, s2000-r9i1p1f2, s2001-r10i1p1f2, s2001-r2i1p1f2, s2001-r4i1p1f2, s2001-r6i1p1f2, s2001-r8i1p1f2, s2002-r1i1p1f2, s2002-r3i1p1f2, s2002-r5i1p1f2, s2002-r7i1p1f2, s2002-r9i1p1f2, s2003-r10i1p1f2, s2003-r2i1p1f2, s2003-r4i1p1f2, s2003-r6i1p1f2, s2003-r8i1p1f2, s2004-r1i1p1f2, s2004-r3i1p1f2, s2004-r5i1p1f2, s2004-r7i1p1f2, s2004-r9i1p1f2, s2005-r10i1p1f2, s2005-r2i1p1f2, s2005-r4i1p1f2, s2005-r6i1p1f2, s2005-r8i1p1f2, s2006-r1i1p1f2, s2006-r3i1p1f2, s2006-r5i1p1f2, s2006-r7i1p1f2, s2006-r9i1p1f2, s2007-r10i1p1f2, s2007-r2i1p1f2, s2007-r4i1p1f2, s2007-r6i1p1f2, s2007-r8i1p1f2, s2008-r1i1p1f2, s2008-r3i1p1f2, s2008-r5i1p1f2, s2008-r7i1p1f2, s2008-r9i1p1f2, s2009-r10i1p1f2, s2009-r2i1p1f2, s2009-r4i1p1f2, s2009-r6i1p1f2, s2009-r8i1p1f2, s2010-r1i1p1f2, s2010-r3i1p1f2, s2010-r5i1p1f2, s2010-r7i1p1f2, s2010-r9i1p1f2, s2011-r10i1p1f2, s2011-r2i1p1f2, s2011-r4i1p1f2, s2011-r6i1p1f2, s2011-r8i1p1f2, s2012-r1i1p1f2, s2012-r3i1p1f2, s2012-r5i1p1f2, s2012-r7i1p1f2, s2012-r9i1p1f2, s2013-r10i1p1f2, s2013-r2i1p1f2, s2013-r4i1p1f2, s2013-r6i1p1f2, s2013-r8i1p1f2, s2014-r1i1p1f2, s2014-r3i1p1f2, s2014-r5i1p1f2, s2014-r7i1p1f2, s2014-r9i1p1f2, s2015-r10i1p1f2, s2015-r2i1p1f2, s2015-r4i1p1f2, s2015-r6i1p1f2, s2015-r8i1p1f2, s2016-r1i1p1f2, s2016-r3i1p1f2, s2016-r5i1p1f2, s2016-r7i1p1f2, s2016-r9i1p1f2, s2017-r10i1p1f2, s2017-r2i1p1f2, s2017-r4i1p1f2, s2017-r6i1p1f2, s2017-r8i1p1f2, s2018-r1i1p1f2, s2018-r3i1p1f2, s2018-r5i1p1f2, s2018-r7i1p1f2, s2018-r9i1p1f2, s2019-r10i1p1f2, s2019-r2i1p1f2, s2019-r4i1p1f2, s2019-r6i1p1f2, s2019-r8i1p1f2, s2020-r1i1p1f2, s2020-r3i1p1f2, s2020-r5i1p1f2, s2020-r7i1p1f2, s2020-r9i1p1f2, s2021-r10i1p1f2, s2021-r1i1p1f2, s2021-r2i1p1f2, s2021-r3i1p1f2, s2021-r4i1p1f2, s2021-r5i1p1f2, s2021-r6i1p1f2, s2021-r7i1p1f2, s2021-r8i1p1f2 and s2021-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 29673, "uuid": "9f5a91d3ee2f43939ea12137473bdeae", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: 3hr, AERmon, AERmonZ, Amon, E3hr, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29688, "uuid": "c67feda8019e42ab9886e9c6c4604a10", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: 3hr, AERmon, AERmonZ, Amon, E3hr, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29525, "uuid": "b02ca5867f8e485bb7f88be006987b8b", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29685, "uuid": "62c530de3b324ddc8c8a738317d724e6", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: 3hr, AERmon, AERmonZ, Amon, E3hr, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28321, "uuid": "b0d9b822fbf54c1f96e0847dc09491f2", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"piClim-CH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 methane concentrations (including chemistry)\" (piClim-CH4) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28345, "uuid": "e9ee96a01355416ea196d4a4bc93a81e", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"ssp370SST-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions\" (ssp370SST-lowNTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29372, "uuid": "2ac0134aeb8b4ff7be0a14a5dd48a4a9", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-ESM2-1 model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 119463, 119464, 119465, 119467, 119468, 119471, 119472, 119474, 119475, 119466, 119469, 119473, 164817, 164818, 119470 ], "onlineresource_set": [ 27830, 27831, 49163 ], "project_set": [ 28287 ] }, { "ob_id": 28351, "uuid": "15c8e637a36e434f9f433f92b56149a2", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team MIROC6 model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team MIROC6 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC6", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29587, "uuid": "7def22af3c984765b1ca686a534b96c6", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28356, "uuid": "c19b414a7b7b4692926e7852103a0feb", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28731, "uuid": "56e58d2944904b4090a0ce5bee909fa1", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29249, "uuid": "8bb8bf2d60f1439f9fb300618bc99893", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28362, "uuid": "747a7373bf094c818b78863f01c861be", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"histSST-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28574, "uuid": "d620a353689b4375bd19beae304d872c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFmon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33613, "uuid": "d5739488f8cd4503a41ab947aad61f6a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: 3hr, 6hrPlev, AERmon, Amon, Eday, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28728, "uuid": "e3c805148b2544b084f247fa762fff8b", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28571, "uuid": "f5318b3c3bca4282b21d5e1defe1d3bd", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29073, "uuid": "71c36a62425146d0928aef9afe657810", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-CO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical CO2-only run\" (hist-CO2) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29720, "uuid": "f5a79ad293f24feab90a2ecf309f3d82", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: Amon, Eday, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28380, "uuid": "419461cdfb544ace8efbd65eb0e2935d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-OC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33607, "uuid": "83e1e721a94c4b71a3a171990caa2908", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, AERmon, Amon, Eday, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31128, "uuid": "4c2dbb27f048405fb1d25235ea0f1daf", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29723, "uuid": "1b73da378c7d41098db74596f74370af", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Eday, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29200, "uuid": "8f531b0b577944bab4b217aadb9e9b1c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28577, "uuid": "1ba0156e30bf48e2841ce2d0a3d591f9", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFmon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29197, "uuid": "dc7c7421a2254ed0ab7bb65758337060", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29581, "uuid": "436e51a820644a89af04e86200cd0547", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28568, "uuid": "913d22f9ceb94377b1133d01327abfaf", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28353, "uuid": "9160bb518e1242adaec21ddf38a19a95", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical forcing, but with pre-industrial NTCF emissions\" (hist-piNTCF) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29741, "uuid": "8c0ca9279c5f4a098ce3d1581c381f17", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28725, "uuid": "0ab6591abf0f414899e4a438226472df", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Lmon and Ofx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28580, "uuid": "3d62e3ffd7614595983b0a6df125906a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, LImon and Lmon. The runs included the ensemble member: r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29085, "uuid": "fb18dea3cb5545eda4962b861d997d93", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp245-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"well-mixed GHG-only SSP2-4.5 run\" (ssp245-GHG) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29738, "uuid": "79b2d406d0734d3893427a301b8d1e2a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28374, "uuid": "d7b609a6e9b444808fd5b3f04551f5b5", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-BC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 black carbon emissions\" (piClim-BC) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33610, "uuid": "69f38bdc00954546a054c4237f8b6c39", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: 3hr, 6hrPlev, AERmon, Amon, Eday, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29566, "uuid": "82146664be5a47fbad0e77362a67ab70", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30920, "uuid": "0d94a013307140879b283363616d9f9d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon, SImon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29572, "uuid": "6be3a5ef8fbf4b27a9b27543611c4f9e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29726, "uuid": "7b55e570032a4e8795408af8f1e3bb3a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29088, "uuid": "13299e9ce39d462da8ad6e2994e9a50b", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp245-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"stratospheric-ozone-only SSP2-4.5 run\" (ssp245-stratO3) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29070, "uuid": "b759d9393ca54e3b824f3420e7fe03e9", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28386, "uuid": "bd1b89fdd33f483b8ab82d2cc3d158f7", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp370-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"SSP3-7.0, with low NTCF emissions\" (ssp370-lowNTCF) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29578, "uuid": "5aeaf99fb25b42a58885c0f724e3cbc4", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29575, "uuid": "ca953664e0934be7959463a53026d51a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28349, "uuid": "80146f548df74fe3aa5ea0321e8a2dda", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29569, "uuid": "e03b1b39639b4b31ac025bb98aa4bcf3", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29563, "uuid": "d8c7b5de223e4723ab798d01a4c0f231", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28392, "uuid": "4464fe31c2db4986ad31f3ac69391d7c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp370SST-lowAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"SSP3-7.0, prescribed SSTs, with low aerosol emissions\" (ssp370SST-lowAer) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28377, "uuid": "14c2ba3ceae8489d98d480277ceb0780", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-NTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NTCF emissions\" (piClim-NTCF) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29729, "uuid": "b72b3d18df724f37b8c3fd67831991cb", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29206, "uuid": "a2c92b40d28648698a2e5e40968c82b7", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29584, "uuid": "5c4b1d54321d45d095bb4952b4b86c86", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29194, "uuid": "0cefb798af9b4444a15ee517081d01ab", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28368, "uuid": "986ae5cd01d245f7930df3edf4f57d8f", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-2xfire\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions from fires\" (piClim-2xfire) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28395, "uuid": "5e76f0055c10491a830219e694ea9430", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp370SST-lowBC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"SSP3-7.0, prescribed SSTs, with low black carbon emissions\" (ssp370SST-lowBC) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28722, "uuid": "28c6dff2edc044c78407d81f0b542a15", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28371, "uuid": "28aa50927bca4ec1809c7451bd23ad0d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-2xss\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of sea salt\" (piClim-2xss) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28365, "uuid": "c9a31ef21f174e049c146344a4a0cfdd", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-2xdust\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of dust\" (piClim-2xdust) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28359, "uuid": "78e8cc1971984fba897f52578c537d7c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"histSST-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical SSTs and historical forcing, but with pre-industrial aerosol emissions\" (histSST-piAer) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28719, "uuid": "02f8de83db2f420bbf04461a54a6cb34", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29203, "uuid": "6e28128054504d0d995d07b82af5c671", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28389, "uuid": "760bcd0ba2074bdabc3d35ca8f353290", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp370SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29735, "uuid": "5ff9ba4c1b924ce3a9dc66aed18fb39d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38546, "uuid": "0914fc68f5d04813b277788ac25f1823", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r1i1p1f1, s1960-r2i1p1f1, s1960-r3i1p1f1, s1960-r4i1p1f1, s1960-r5i1p1f1, s1960-r6i1p1f1, s1960-r7i1p1f1, s1960-r8i1p1f1, s1960-r9i1p1f1, s1961-r10i1p1f1, s1961-r1i1p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r7i1p1f1, s1961-r8i1p1f1, s1961-r9i1p1f1, s1962-r10i1p1f1, s1962-r1i1p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r7i1p1f1, s1962-r8i1p1f1, s1962-r9i1p1f1, s1963-r10i1p1f1, s1963-r1i1p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r7i1p1f1, s1963-r8i1p1f1, s1963-r9i1p1f1, s1964-r10i1p1f1, s1964-r1i1p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r7i1p1f1, s1964-r8i1p1f1, s1964-r9i1p1f1, s1965-r10i1p1f1, s1965-r1i1p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r7i1p1f1, s1965-r8i1p1f1, s1965-r9i1p1f1, s1966-r10i1p1f1, s1966-r1i1p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r7i1p1f1, s1966-r8i1p1f1, s1966-r9i1p1f1, s1967-r10i1p1f1, s1967-r1i1p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r7i1p1f1, s1967-r8i1p1f1, s1967-r9i1p1f1, s1968-r10i1p1f1, s1968-r1i1p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r7i1p1f1, s1968-r8i1p1f1, s1968-r9i1p1f1, s1969-r10i1p1f1, s1969-r1i1p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r7i1p1f1, s1969-r8i1p1f1, s1969-r9i1p1f1, s1970-r10i1p1f1, s1970-r1i1p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r7i1p1f1, s1970-r8i1p1f1, s1970-r9i1p1f1, s1971-r10i1p1f1, s1971-r1i1p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r7i1p1f1, s1971-r8i1p1f1, s1971-r9i1p1f1, s1972-r10i1p1f1, s1972-r1i1p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r7i1p1f1, s1972-r8i1p1f1, s1972-r9i1p1f1, s1973-r10i1p1f1, s1973-r1i1p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r7i1p1f1, s1973-r8i1p1f1, s1973-r9i1p1f1, s1974-r10i1p1f1, s1974-r1i1p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r7i1p1f1, s1974-r8i1p1f1, s1974-r9i1p1f1, s1975-r10i1p1f1, s1975-r1i1p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r7i1p1f1, s1975-r8i1p1f1, s1975-r9i1p1f1, s1976-r10i1p1f1, s1976-r1i1p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r7i1p1f1, s1976-r8i1p1f1, s1976-r9i1p1f1, s1977-r10i1p1f1, s1977-r1i1p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r7i1p1f1, s1977-r8i1p1f1, s1977-r9i1p1f1, s1978-r10i1p1f1, s1978-r1i1p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r7i1p1f1, s1978-r8i1p1f1, s1978-r9i1p1f1, s1979-r10i1p1f1, s1979-r1i1p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r7i1p1f1, s1979-r8i1p1f1, s1979-r9i1p1f1, s1980-r10i1p1f1, s1980-r1i1p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r7i1p1f1, s1980-r8i1p1f1, s1980-r9i1p1f1, s1981-r10i1p1f1, s1981-r1i1p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r7i1p1f1, s1981-r8i1p1f1, s1981-r9i1p1f1, s1982-r10i1p1f1, s1982-r1i1p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r7i1p1f1, s1982-r8i1p1f1, s1982-r9i1p1f1, s1983-r10i1p1f1, s1983-r1i1p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r7i1p1f1, s1983-r8i1p1f1, s1983-r9i1p1f1, s1984-r10i1p1f1, s1984-r1i1p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r7i1p1f1, s1984-r8i1p1f1, s1984-r9i1p1f1, s1985-r10i1p1f1, s1985-r1i1p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r7i1p1f1, s1985-r8i1p1f1, s1985-r9i1p1f1, s1986-r10i1p1f1, s1986-r1i1p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r7i1p1f1, s1986-r8i1p1f1, s1986-r9i1p1f1, s1987-r10i1p1f1, s1987-r1i1p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r7i1p1f1, s1987-r8i1p1f1, s1987-r9i1p1f1, s1988-r10i1p1f1, s1988-r1i1p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r7i1p1f1, s1988-r8i1p1f1, s1988-r9i1p1f1, s1989-r10i1p1f1, s1989-r1i1p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r7i1p1f1, s1989-r8i1p1f1, s1989-r9i1p1f1, s1990-r10i1p1f1, s1990-r1i1p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r7i1p1f1, s1990-r8i1p1f1, s1990-r9i1p1f1, s1991-r10i1p1f1, s1991-r1i1p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r7i1p1f1, s1991-r8i1p1f1, s1991-r9i1p1f1, s1992-r10i1p1f1, s1992-r1i1p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r7i1p1f1, s1992-r8i1p1f1, s1992-r9i1p1f1, s1993-r10i1p1f1, s1993-r1i1p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r7i1p1f1, s1993-r8i1p1f1, s1993-r9i1p1f1, s1994-r10i1p1f1, s1994-r1i1p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r7i1p1f1, s1994-r8i1p1f1, s1994-r9i1p1f1, s1995-r10i1p1f1, s1995-r1i1p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r7i1p1f1, s1995-r8i1p1f1, s1995-r9i1p1f1, s1996-r10i1p1f1, s1996-r1i1p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r7i1p1f1, s1996-r8i1p1f1, s1996-r9i1p1f1, s1997-r10i1p1f1, s1997-r1i1p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r7i1p1f1, s1997-r8i1p1f1, s1997-r9i1p1f1, s1998-r10i1p1f1, s1998-r1i1p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r7i1p1f1, s1998-r8i1p1f1, s1998-r9i1p1f1, s1999-r10i1p1f1, s1999-r1i1p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r7i1p1f1, s1999-r8i1p1f1, s1999-r9i1p1f1, s2000-r10i1p1f1, s2000-r1i1p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r7i1p1f1, s2000-r8i1p1f1, s2000-r9i1p1f1, s2001-r10i1p1f1, s2001-r1i1p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r7i1p1f1, s2001-r8i1p1f1, s2001-r9i1p1f1, s2002-r10i1p1f1, s2002-r1i1p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r7i1p1f1, s2002-r8i1p1f1, s2002-r9i1p1f1, s2003-r10i1p1f1, s2003-r1i1p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r7i1p1f1, s2003-r8i1p1f1, s2003-r9i1p1f1, s2004-r10i1p1f1, s2004-r1i1p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r7i1p1f1, s2004-r8i1p1f1, s2004-r9i1p1f1, s2005-r10i1p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r7i1p1f1, s2005-r8i1p1f1, s2005-r9i1p1f1, s2006-r10i1p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r7i1p1f1, s2006-r8i1p1f1, s2006-r9i1p1f1, s2007-r10i1p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r7i1p1f1, s2007-r8i1p1f1, s2007-r9i1p1f1, s2008-r10i1p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r7i1p1f1, s2008-r8i1p1f1, s2008-r9i1p1f1, s2009-r10i1p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r7i1p1f1, s2009-r8i1p1f1, s2009-r9i1p1f1, s2010-r10i1p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r7i1p1f1, s2010-r8i1p1f1, s2010-r9i1p1f1, s2011-r10i1p1f1, s2011-r1i1p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r7i1p1f1, s2011-r8i1p1f1, s2011-r9i1p1f1, s2012-r10i1p1f1, s2012-r1i1p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r7i1p1f1, s2012-r8i1p1f1, s2012-r9i1p1f1, s2013-r10i1p1f1, s2013-r1i1p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r7i1p1f1, s2013-r8i1p1f1, s2013-r9i1p1f1, s2014-r10i1p1f1, s2014-r1i1p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r7i1p1f1, s2014-r8i1p1f1, s2014-r9i1p1f1, s2015-r10i1p1f1, s2015-r1i1p1f1, s2015-r2i1p1f1, s2015-r3i1p1f1, s2015-r4i1p1f1, s2015-r5i1p1f1, s2015-r6i1p1f1, s2015-r7i1p1f1, s2015-r8i1p1f1, s2015-r9i1p1f1, s2016-r10i1p1f1, s2016-r1i1p1f1, s2016-r2i1p1f1, s2016-r3i1p1f1, s2016-r4i1p1f1, s2016-r5i1p1f1, s2016-r6i1p1f1, s2016-r7i1p1f1, s2016-r8i1p1f1, s2016-r9i1p1f1, s2017-r10i1p1f1, s2017-r1i1p1f1, s2017-r2i1p1f1, s2017-r3i1p1f1, s2017-r4i1p1f1, s2017-r5i1p1f1, s2017-r6i1p1f1, s2017-r7i1p1f1, s2017-r8i1p1f1, s2017-r9i1p1f1, s2018-r10i1p1f1, s2018-r1i1p1f1, s2018-r2i1p1f1, s2018-r3i1p1f1, s2018-r4i1p1f1, s2018-r5i1p1f1, s2018-r6i1p1f1, s2018-r7i1p1f1, s2018-r8i1p1f1 and s2018-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29082, "uuid": "8ad7dfa4c5ba41c2bd9b13cfb7efe6be", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp245-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"aerosol-only SSP2-4.5 run\" (ssp245-aer) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28383, "uuid": "9b47f6cb28e34298804efb6cf413f767", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"piClim-SO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29079, "uuid": "1f129cd4637640f3a153ff4b377c0199", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical stratospheric-ozone-only run\" (hist-stratO3) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33604, "uuid": "622d4861b08f42ff880e5d0138edb359", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29076, "uuid": "cef7708a1ff4481d84ec1c6c5b225c56", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29732, "uuid": "cf4b5310417248bbbeb3b3b8c1fb0f20", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31125, "uuid": "2ac70ac5d97a48eb841579895d3f8329", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC6 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC6 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 119916, 119917, 119918, 119920, 119921, 119924, 119925, 119927, 119928, 119919, 119922, 119926, 164899, 164900, 119923 ], "onlineresource_set": [ 28023, 28024, 49143 ], "project_set": [ 28348 ] }, { "ob_id": 28401, "uuid": "ead9c313d7564425ae28ea3cd63b3c3f", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, UKESM1-0-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30313, "uuid": "f31435db833f4e689fcde021c1545975", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 halocarbon concentrations (including chemistry)\" (piClim-HC) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29774, "uuid": "1f214cd66f9f4a608e0ba3ff22bc6e34", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2 and r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38449, "uuid": "20cf90d93ed94c299ef0017c4799ccee", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585-ocn-alk\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emission-driven SSP5-8.5 scenario but with ocean alkalinization from year 2020 onward\" (esm-ssp585-ocn-alk) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38341, "uuid": "c6edaf0dbc6d47c6ae72f8b8ac41b2f2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowBC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low black carbon emissions\" (ssp370SST-lowBC) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28403, "uuid": "28ef70922c84484d8211415639f5a5fc", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xDMS\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of DMS\" (piClim-2xDMS) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30990, "uuid": "671fe1d8d2584c7a87dd6b268c671d34", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28768, "uuid": "8e5d3410bffb47a1b898afe514f8cdae", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38353, "uuid": "d6d34180aaac45a088211164b80484c6", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with SSP1-2.6 land use\" (ssp370SST-ssp126Lu) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28857, "uuid": "af22bfddad9041888735ecae1fbe2623", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-CH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 methane concentrations (including chemistry)\" (piClim-CH4) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38416, "uuid": "92fd9cbe9cc14487ae7d63eb4f33b224", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2Ndep\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1 percent per year increasing CO2 experiment with increasing N-deposition\" (1pctCO2Ndep) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30987, "uuid": "66da82565f3549779682cef03d68e609", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28457, "uuid": "d33700eb439f4569b0e8eaf55f59b8bf", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"hist-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29593, "uuid": "2cda924b85064d55a4b28a616bfb79b6", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39282, "uuid": "f7a042feee7245a691d413f2c1381c22", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28399, "uuid": "3e7b6173b6a74d329662ae61b966734e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"hist-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28854, "uuid": "43f926a51e53422e8ae952ec290c66dd", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"histSST-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with pre-industrial aerosol emissions\" (histSST-piAer) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31170, "uuid": "219b941f37194002bf031f98d9a783e1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2 and r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29599, "uuid": "d1dd923aad4044ea84dfb0178cf17cd6", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38419, "uuid": "3ccd71ef5c03465991cfb8d6616f743d", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2Ndep-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment with increasing N-deposition\" (1pctCO2Ndep-bgc) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38446, "uuid": "e252da702f4940d79e2a0be3288728c1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585ext\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emission-driven long-term extension of the SSP5-8.5 scenario\" (esm-ssp585ext) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30319, "uuid": "1735c60fdda14b4f9de9c90752c53fee", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-SO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r2i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28412, "uuid": "ee451f948f294dfb9da9b34755fdf0b8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xNOx\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled production of NOx due to lightning\" (piClim-2xNOx) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29765, "uuid": "f3543f074f424ac48b707ba7ace425b4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28418, "uuid": "dd56a6d7ebe049839b8c539b1a8a34be", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-BC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 black carbon emissions\" (piClim-BC) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28421, "uuid": "f6fe00b8d8b4445189ce588827eeeff3", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-NTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NTCF emissions\" (piClim-NTCF) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33544, "uuid": "ddf00a0eca5d4c84a88bffe807ebd372", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585-ocn-alk-stop\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emission-driven SSP5-8.5 scenario with alkalinization terminated in year 2070\" (esm-ssp585-ocn-alk-stop) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29596, "uuid": "50110afdbfca466480f05ee95f393164", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34251, "uuid": "f7a0ea2601994ba79f07e38832aaa2f9", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28927, "uuid": "3663b0d9d47443a786eca5ccdb32c18e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34248, "uuid": "91c269b90679493ab25aaea773e62bbd", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"land-cCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical land-only constant CO2\" (land-cCO2) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30328, "uuid": "9b0208abc3ae41ef84ba6c1e493a2f8b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions\" (ssp370SST-lowNTCF) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon and Eday. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30380, "uuid": "f89d454432cf4d229de3c85bede11e66", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emission-driven SSP5-3.4-OS scenario\" (esm-ssp534-over) experiment. These are available at the following frequencies: Amon, Emon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30322, "uuid": "0a92a4f76a0046228ac40113f29d77bc", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low aerosol emissions\" (ssp370SST-lowAer) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29387, "uuid": "80dddfacc3ae49cd9bc613c4687f9264", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30310, "uuid": "a2f56c05bf6840b78c024acd8295b9f2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xss\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of sea salt\" (piClim-2xss) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33965, "uuid": "a321534bc7984d90a178763748c53585", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp245-cov-fossil\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"2-year Covid-19 emissions blip followed by increased emissions due to a fossil-fuel based recovery, based upon ssp245\" (ssp245-cov-fossil) experiment. These are available at the following frequencies: AERmon, Amon, Emon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38422, "uuid": "0d85b8a61be7459ebb71677a03da6ab4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp534-over-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"biogeochemically-coupled version of the RCP3.4-overshoot based on SSP5\" (ssp534-over-bgc) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38350, "uuid": "3765fcd48dcd47c08ea3964df44e01d2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370pdSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, with SSTs prescribed as present day\" (ssp370pdSST) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28452, "uuid": "6ece709683be42cdaaeac8d8621cd411", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: AERday, AERmon, Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28924, "uuid": "1413ada259844d749b462b6b490d58ff", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2 and r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33541, "uuid": "7c8950992bdb49888d31f7808fabac56", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2-cdr\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Emon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33968, "uuid": "77043e681904457ca9682ee31f80016d", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp245-covid\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"2-year Covid-19 emissions blip based upon ssp245\" (ssp245-covid) experiment. These are available at the following frequencies: AERmon, Amon, Emon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39271, "uuid": "51da84bd63a247f49763d048754d4baf", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30356, "uuid": "7da78e2146b442758e1a94e851cc8014", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-1pct-brch-1000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28415, "uuid": "520b9954477943fa8e25c4661b6866a8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xVOC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of biogenic VOCs\" (piClim-2xVOC) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28930, "uuid": "59c10ac7bea2424f8eb64f0e310a2d4f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f3, r6i1p1f3, r7i1p1f3, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30365, "uuid": "dd5bd2e874a44a0db9b0757d633c212c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30257, "uuid": "b4662472624a4e7aaeabf55122998721", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28933, "uuid": "208e35d6d82444b18b1f3b938cdc080f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30377, "uuid": "4ab8f8bdcb7848c0bd6da72d9cf195a2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-pi-CO2pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Emon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29768, "uuid": "eccb296c831842909b9edf998d7b7976", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29771, "uuid": "f19f2a659a3a489d92ca0c4d3992ab5f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28771, "uuid": "33d3514d83984fc6b579d1c3d2f41856", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31106, "uuid": "04789c1c1a524ce499e9120a76225152", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30359, "uuid": "5dc8f2c25b0c481197461d120ed6fe28", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-1pct-brch-2000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"zero emissions simulation branched from 1% run after 2000 PgC cumulative emission\" (esm-1pct-brch-2000PgC) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29384, "uuid": "fc61b7e1b27a4eeb8340e58e53b95072", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28460, "uuid": "7ba0ad71452f4048aecdaf357cef41da", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28774, "uuid": "f1faf740ed2a453789fe5f19de669654", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29762, "uuid": "7910bf8499c34c87a0bd4402402465a2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29381, "uuid": "10ccf16fae854b7582195d77a48da121", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2 and r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34229, "uuid": "349558b0a813465899ae8e2596a15543", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"land-hist-cruNcep\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"as land-hist with CRU-NCEP forcings\" (land-hist-cruNcep) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34245, "uuid": "d786df3be8e7472582cb4edbd5164035", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"land-cClim\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical land-only constant climate\" (land-cClim) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28409, "uuid": "34db671d30a6490eba3e22cd03463506", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xfire\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions from fires\" (piClim-2xfire) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30362, "uuid": "0386d927b3ca445d8b7c076aa20e19c3", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-1pct-brch-750PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"zero emissions simulation branched from 1% run after 750 PgC cumulative emission\" (esm-1pct-brch-750PgC) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31173, "uuid": "a42bf9cd1986412191a7c8c161787525", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28455, "uuid": "776abe3dae7d478697dc8be1fcecc1c4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: AERday, AERmon, Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33974, "uuid": "296afae2f28e491e8603161481cf1eae", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp245-cov-strgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"2-year Covid-19 emissions blip followed by strong-green stimulus recovery, based upon ssp245\" (ssp245-cov-strgreen) experiment. These are available at the following frequencies: AERmon, Amon, Emon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r17i1p1f2, r18i1p1f2, r2i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29590, "uuid": "b8b3e3d164f74f939d17f5ffc25547c8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31523, "uuid": "1698a874ddb2473aacf2348eb433166b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34232, "uuid": "a46a93f0533e478ca6637abccc9dda62", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30993, "uuid": "9574fb19092340c1a6558c60c170d7f1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"G7cirrus\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"increase cirrus ice crystal fall speed to reduce net forcing in SSP585 by 1 W m-2\" (G7cirrus) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r4i1p1f2 and r8i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29230, "uuid": "b1d0e322518a4747ae2845e454691e6e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"G1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"abrupt quadrupling of CO2 plus reduction in total solar irradiance\" (G1) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i2p1f2 and r3i2p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28406, "uuid": "965eccaf6d784fffa648ae71f6c050d1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-2xdust\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with doubled emissions of dust\" (piClim-2xdust) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30325, "uuid": "b915e7bc5bb947c48e3478c828d97d7e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low methane concentrations\" (ssp370SST-lowCH4) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ and Amon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33477, "uuid": "636eb35013034f98a7cb12c7fa55e9e8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowNTCFCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions and methane concentrations\" (ssp370SST-lowNTCFCH4) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38347, "uuid": "ea0ec1a6d2a14432b25deef6764f54c2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370-lowNTCFCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, with low NTCF emissions and methane concentrations\" (ssp370-lowNTCFCH4) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon, Omon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30316, "uuid": "2b68f700ec35447291fd74899ba0ff9f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"piClim-OC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble members: r2i1p1f2 and r2i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33971, "uuid": "2b86c9d5ec2c409ba6f9da69c98202d4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp245-cov-modgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"2-year Covid-19 emissions blip followed by moderate-green stimulus recovery, based upon ssp245\" (ssp245-cov-modgreen) experiment. These are available at the following frequencies: AERmon, Amon, Emon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30374, "uuid": "2bf5cfc063a340f4bad8e555a1f1995c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-pi-cdr-pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Emon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 120284, 120285, 120286, 120287, 120288, 120290, 120291, 120292, 120293, 120289, 164967, 164968 ], "onlineresource_set": [ 28171, 28172, 49166 ], "project_set": [ 28398 ] }, { "ob_id": 28427, "uuid": "108b11504ef44f4fb0bb66273e261709", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2-WACCM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28860, "uuid": "b49516c6355b4356a5b63024a515f5db", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"histSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28429, "uuid": "22524e2b26164130a22dea48a61840be", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"hist-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical forcing, but with pre-industrial NTCF emissions\" (hist-piNTCF) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31451, "uuid": "c2b8f5d1e4594b278f14eb03a70f53b5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r2i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34101, "uuid": "f97a18005c6446c492bff0e887281e9d", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble members: r1i1p1f1 and r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28942, "uuid": "83c4127c4f77427ea76c165c59430183", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28833, "uuid": "222cb5ef77ea40a5a47d12a4bbde3ece", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Eyr, ImonAnt, ImonGre, LImon, Lmon, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28829, "uuid": "e72d55c1b1c140a283effa0732577344", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28830, "uuid": "c592c08ed77640f3859447e090ec7db9", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29815, "uuid": "f51440eb8a764f02b1b604b5e22767be", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28828, "uuid": "11832e3d22f84613bb08912046cc0f38", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29818, "uuid": "13bb5fd4737e4ca0a25c9fafcdf5e904", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29821, "uuid": "dd7290ce06c0430fa5a2da5b4d209223", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34104, "uuid": "aa1ffca65ceb41c0babf5b20168fe6d6", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28432, "uuid": "4ddfca1a5efc445aa68182daf36a95ba", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"histSST-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical SSTs and historical forcing, but with 1950 halocarbon concentrations. Experiment is initialized from histSST (AerChemMIP) simulation from January 1950\" (histSST-1950HC) experiment. These are available at the following frequencies: Amon, CFmon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29233, "uuid": "a26967f2ce2c4e789a22eb034722ffa3", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"G1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"abrupt quadrupling of CO2 plus reduction in total solar irradiance\" (G1) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29812, "uuid": "2f1fe4cc2b7941598fb4a1e67161a13a", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28863, "uuid": "2e934ebf5643461aa1c9ffae5cbc78b0", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"histSST-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28425, "uuid": "634c3bfcc7dd44f8ad0ee0d5e490ae15", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"hist-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM model output for the \"historical forcing, but with1950s halocarbon concentrations; initialized in 1950\" (hist-1950HC) experiment. These are available at the following frequencies: Amon, CFmon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 120428, 120429, 120430, 120431, 120432, 120434, 120435, 120436, 120437, 165003, 120433, 165004 ], "onlineresource_set": [ 28247, 28248, 49165 ], "project_set": [ 28424 ] }, { "ob_id": 28438, "uuid": "61ac0d9b3fd14695b24fa4c2f46cf120", "short_code": "coll", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CCCma, CanESM5", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38694, "uuid": "0f3263c216df49cca1f1ea5a8784d402", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"futSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with future SST and present day SIC\" (futSST-pdSIC) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38380, "uuid": "243f338b9532449fb6b53f42fb6563f3", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp534-over-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"biogeochemically-coupled version of the RCP3.4-overshoot based on SSP5\" (ssp534-over-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29643, "uuid": "6d4812f3e2f44944b96a02bf0389b634", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r10i1p2f1, r1i1p1f1, r1i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p1f1, r3i1p2f1, r4i1p1f1, r4i1p2f1, r5i1p1f1, r5i1p2f1, r6i1p1f1, r6i1p2f1, r7i1p1f1, r7i1p2f1, r8i1p1f1, r8i1p2f1, r9i1p1f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29010, "uuid": "3060079aaa534129b3b92c1a119028ae", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38670, "uuid": "86084d2579614650bae4f5442c5e8c53", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38455, "uuid": "293020ac9cb9445494d4917afd2e63a1", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt-solm4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt 4% decrease in solar constant\" (abrupt-solm4p) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29658, "uuid": "666175d1de9a48a79eae845eb6b00c24", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, Eday, EdayZ, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r10i1p2f1, r1i1p1f1, r1i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p1f1, r3i1p2f1, r4i1p1f1, r4i1p2f1, r5i1p1f1, r5i1p2f1, r6i1p1f1, r6i1p2f1, r7i1p1f1, r7i1p2f1, r8i1p1f1, r8i1p2f1, r9i1p1f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38507, "uuid": "728997c8189c44e1bd93a86151b753de", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-covid\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip based upon ssp245\" (ssp245-covid) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29504, "uuid": "3930b605902d4d64a1ec32c3eef3f7b7", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38591, "uuid": "004aa6374e7c4c639c7459d80bcc09c7", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-heat-NA0pct\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA0pct) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29019, "uuid": "644a3aef27994d6b9e15dd8277d58ee4", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28475, "uuid": "f86c9ed4a50f4b7bbf85c4df7130aef8", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38371, "uuid": "40fc89ed05b948e89790eb65b8dc1b99", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-1pct-brch-1000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38709, "uuid": "41fa693f96be44bcb8edc44aca3dd749", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with pre-industrial SST and present day SIC\" (piSST-pdSIC) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38383, "uuid": "e765d04bf5dd4aacaa08d30c3a84a331", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29031, "uuid": "48c95c1714e6403fba7fe59665ae15e2", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"aerosol-only SSP2-4.5 run\" (ssp245-aer) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28672, "uuid": "4b5da4401b0149fba0d83085552bbd34", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERday, Amon, Eday, Lmon, Oday, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1 and r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29646, "uuid": "13ce539e6d8c4b5d92a50599daa89428", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, Eday, EdayZ, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r10i1p2f1, r11i1p1f1, r11i1p2f1, r12i1p1f1, r12i1p2f1, r13i1p1f1, r13i1p2f1, r14i1p1f1, r14i1p2f1, r15i1p1f1, r15i1p2f1, r16i1p1f1, r16i1p2f1, r17i1p1f1, r17i1p2f1, r18i1p1f1, r18i1p2f1, r19i1p1f1, r19i1p2f1, r1i1p1f1, r1i1p2f1, r20i1p1f1, r20i1p2f1, r21i1p1f1, r21i1p2f1, r22i1p1f1, r22i1p2f1, r23i1p1f1, r23i1p2f1, r24i1p1f1, r24i1p2f1, r25i1p1f1, r25i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p1f1, r3i1p2f1, r4i1p1f1, r4i1p2f1, r5i1p1f1, r5i1p2f1, r6i1p1f1, r6i1p2f1, r7i1p1f1, r7i1p2f1, r8i1p1f1, r8i1p2f1, r9i1p1f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29016, "uuid": "4c5f9ea458654ba5a0c8aaf00a256456", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28921, "uuid": "c156dbc9d89f447fa2074020cc247345", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38588, "uuid": "5bd19d02511944b0aaa0c634b85c4084", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-antwater-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface fluxes of momentum and freshwater into ocean, the latter around the coast of Antarctica only\" (faf-antwater-stress) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29652, "uuid": "ad574afe1a71468d93085a69b08bb41a", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: AERmon, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29366, "uuid": "be4e2e2b2963494b8667fe53e98873a7", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38452, "uuid": "b4318684e52f4ea899c88fa25e5d4f76", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38510, "uuid": "27513dfc33e549dab9429b4ce719e7e1", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-cov-modgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip followed by moderate-green stimulus recovery, based upon ssp245\" (ssp245-cov-modgreen) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29191, "uuid": "46bb410a1be8443ab4cc252760b033ae", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon, Eday, Lmon, Oday, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28443, "uuid": "092ea814e85c4d1ca2b7ffff43b5eaaa", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28660, "uuid": "f37c7985e04441389ad040d97f2c9c0b", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1 and r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28657, "uuid": "748e5e78bdbf4454be29813360194bd2", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p1f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28669, "uuid": "8c2d2513aca546f3bf2f01b08d0faef7", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERday, AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r10i1p2f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r1i1p2f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r2i1p2f1, r3i1p1f1, r3i1p2f1, r4i1p1f1, r4i1p2f1, r5i1p1f1, r5i1p2f1, r6i1p1f1, r6i1p2f1, r7i1p1f1, r7i1p2f1, r8i1p1f1, r8i1p2f1, r9i1p1f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29655, "uuid": "173caf2458fd40528834c350d1678198", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: AERmon, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28481, "uuid": "fae36bb3e5984becb9cd2fc5c7ed8102", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29649, "uuid": "37db9554f64042ed8c8e50059a56801c", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: AERmon, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38712, "uuid": "d707f749d1084b4cbed047dcbe24b5c5", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piSST-piSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with pre-industrial SST and SIC\" (piSST-piSIC) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28472, "uuid": "a4bd5c1d102c45ec834b9497c1c728f8", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29498, "uuid": "d72f85f41e1947a5bbf0d9e904d4f93b", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29489, "uuid": "8625eacf851844b49dc33c3b5bd56dc0", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38703, "uuid": "35fde49b01b64f7f879637faedd4ff19", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-futOkhotskSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and future Sea of Okhotsk SIC\" (pdSST-futOkhotskSIC) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29434, "uuid": "109659a220a74dfda7e028a0164dcbae", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and SIC\" (pdSST-pdSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38458, "uuid": "b3acf44e24154cbab2cbc30687abac4b", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt-solp4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29013, "uuid": "14eb1d390d94403c974c4c303d68527a", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-CO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical CO2-only run\" (hist-CO2) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38594, "uuid": "183fb431202044eaa1c0304afa471299", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-heat-NA50pct\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA50pct) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38820, "uuid": "190b64174e3d4fa0a9494280fb3a8742", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38498, "uuid": "017e3d22274c409b88d40b1e5ece9336", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-cov-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip including anthropogenic aerosols only, based upon ssp245\" (ssp245-cov-aer) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38531, "uuid": "77c114c824e4447a9ff120a0fcc78f18", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"dcppA-assim\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Assimilation run paralleling the historical simulation, which may be used to generate hindcast initial conditions\" (dcppA-assim) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r10i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29363, "uuid": "7e0d828d771d44a0b0086aa6720dc4a8", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38534, "uuid": "0d57ceb01b70430c8c4df8c2d1f082c7", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERmonZ, Amon, Eday, EdayZ, day and fx. The runs included the ensemble members: s1960-r10i1p2f1, s1960-r11i1p2f1, s1960-r12i1p2f1, s1960-r13i1p2f1, s1960-r14i1p2f1, s1960-r15i1p2f1, s1960-r16i1p2f1, s1960-r17i1p2f1, s1960-r18i1p2f1, s1960-r19i1p2f1, s1960-r1i1p2f1, s1960-r20i1p2f1, s1960-r21i1p2f1, s1960-r22i1p2f1, s1960-r23i1p2f1, s1960-r24i1p2f1, s1960-r25i1p2f1, s1960-r26i1p2f1, s1960-r27i1p2f1, s1960-r28i1p2f1, s1960-r29i1p2f1, s1960-r2i1p2f1, s1960-r30i1p2f1, s1960-r31i1p2f1, s1960-r32i1p2f1, s1960-r33i1p2f1, s1960-r34i1p2f1, s1960-r35i1p2f1, s1960-r36i1p2f1, s1960-r37i1p2f1, s1960-r38i1p2f1, s1960-r39i1p2f1, s1960-r3i1p2f1, s1960-r40i1p2f1, s1960-r4i1p2f1, s1960-r5i1p2f1, s1960-r6i1p2f1, s1960-r7i1p2f1, s1960-r8i1p2f1, s1960-r9i1p2f1, s1961-r10i1p2f1, s1961-r11i1p2f1, s1961-r12i1p2f1, s1961-r13i1p2f1, s1961-r14i1p2f1, s1961-r15i1p2f1, s1961-r16i1p2f1, s1961-r17i1p2f1, s1961-r18i1p2f1, s1961-r19i1p2f1, s1961-r1i1p2f1, s1961-r20i1p2f1, s1961-r21i1p2f1, s1961-r22i1p2f1, s1961-r23i1p2f1, s1961-r24i1p2f1, s1961-r25i1p2f1, s1961-r26i1p2f1, s1961-r27i1p2f1, s1961-r28i1p2f1, s1961-r29i1p2f1, s1961-r2i1p2f1, s1961-r30i1p2f1, s1961-r31i1p2f1, s1961-r32i1p2f1, s1961-r33i1p2f1, s1961-r34i1p2f1, s1961-r35i1p2f1, s1961-r36i1p2f1, s1961-r37i1p2f1, s1961-r38i1p2f1, s1961-r39i1p2f1, s1961-r3i1p2f1, s1961-r40i1p2f1, s1961-r4i1p2f1, s1961-r5i1p2f1, s1961-r6i1p2f1, s1961-r7i1p2f1, s1961-r8i1p2f1, s1961-r9i1p2f1, s1962-r10i1p2f1, s1962-r11i1p2f1, s1962-r12i1p2f1, s1962-r13i1p2f1, s1962-r14i1p2f1, s1962-r15i1p2f1, s1962-r16i1p2f1, s1962-r17i1p2f1, s1962-r18i1p2f1, s1962-r19i1p2f1, s1962-r1i1p2f1, s1962-r20i1p2f1, s1962-r21i1p2f1, s1962-r22i1p2f1, s1962-r23i1p2f1, s1962-r24i1p2f1, s1962-r25i1p2f1, s1962-r26i1p2f1, s1962-r27i1p2f1, s1962-r28i1p2f1, s1962-r29i1p2f1, s1962-r2i1p2f1, s1962-r30i1p2f1, s1962-r31i1p2f1, s1962-r32i1p2f1, s1962-r33i1p2f1, s1962-r34i1p2f1, s1962-r35i1p2f1, s1962-r36i1p2f1, s1962-r37i1p2f1, s1962-r38i1p2f1, s1962-r39i1p2f1, s1962-r3i1p2f1, s1962-r40i1p2f1, s1962-r4i1p2f1, s1962-r5i1p2f1, s1962-r6i1p2f1, s1962-r7i1p2f1, s1962-r8i1p2f1, s1962-r9i1p2f1, s1963-r10i1p2f1, s1963-r11i1p2f1, s1963-r12i1p2f1, s1963-r13i1p2f1, s1963-r14i1p2f1, s1963-r15i1p2f1, s1963-r16i1p2f1, s1963-r17i1p2f1, s1963-r18i1p2f1, s1963-r19i1p2f1, s1963-r1i1p2f1, s1963-r20i1p2f1, s1963-r21i1p2f1, s1963-r22i1p2f1, s1963-r23i1p2f1, s1963-r24i1p2f1, s1963-r25i1p2f1, s1963-r26i1p2f1, s1963-r27i1p2f1, s1963-r28i1p2f1, s1963-r29i1p2f1, s1963-r2i1p2f1, s1963-r30i1p2f1, s1963-r31i1p2f1, s1963-r32i1p2f1, s1963-r33i1p2f1, s1963-r34i1p2f1, s1963-r35i1p2f1, s1963-r36i1p2f1, s1963-r37i1p2f1, s1963-r38i1p2f1, s1963-r39i1p2f1, s1963-r3i1p2f1, s1963-r40i1p2f1, s1963-r4i1p2f1, s1963-r5i1p2f1, s1963-r6i1p2f1, s1963-r7i1p2f1, s1963-r8i1p2f1, s1963-r9i1p2f1, s1964-r10i1p2f1, s1964-r11i1p2f1, s1964-r12i1p2f1, s1964-r13i1p2f1, s1964-r14i1p2f1, s1964-r15i1p2f1, s1964-r16i1p2f1, s1964-r17i1p2f1, s1964-r18i1p2f1, s1964-r19i1p2f1, s1964-r1i1p2f1, s1964-r20i1p2f1, s1964-r21i1p2f1, s1964-r22i1p2f1, s1964-r23i1p2f1, s1964-r24i1p2f1, s1964-r25i1p2f1, s1964-r26i1p2f1, s1964-r27i1p2f1, s1964-r28i1p2f1, s1964-r29i1p2f1, s1964-r2i1p2f1, s1964-r30i1p2f1, s1964-r31i1p2f1, s1964-r32i1p2f1, s1964-r33i1p2f1, s1964-r34i1p2f1, s1964-r35i1p2f1, s1964-r36i1p2f1, s1964-r37i1p2f1, s1964-r38i1p2f1, s1964-r39i1p2f1, s1964-r3i1p2f1, s1964-r40i1p2f1, s1964-r4i1p2f1, s1964-r5i1p2f1, s1964-r6i1p2f1, s1964-r7i1p2f1, s1964-r8i1p2f1, s1964-r9i1p2f1, s1965-r10i1p2f1, s1965-r11i1p2f1, s1965-r12i1p2f1, s1965-r13i1p2f1, s1965-r14i1p2f1, s1965-r15i1p2f1, s1965-r16i1p2f1, s1965-r17i1p2f1, s1965-r18i1p2f1, s1965-r19i1p2f1, s1965-r1i1p2f1, s1965-r20i1p2f1, s1965-r21i1p2f1, s1965-r22i1p2f1, s1965-r23i1p2f1, s1965-r24i1p2f1, s1965-r25i1p2f1, s1965-r26i1p2f1, s1965-r27i1p2f1, s1965-r28i1p2f1, s1965-r29i1p2f1, s1965-r2i1p2f1, s1965-r30i1p2f1, s1965-r31i1p2f1, s1965-r32i1p2f1, s1965-r33i1p2f1, s1965-r34i1p2f1, s1965-r35i1p2f1, s1965-r36i1p2f1, s1965-r37i1p2f1, s1965-r38i1p2f1, s1965-r39i1p2f1, s1965-r3i1p2f1, s1965-r40i1p2f1, s1965-r4i1p2f1, s1965-r5i1p2f1, s1965-r6i1p2f1, s1965-r7i1p2f1, s1965-r8i1p2f1, s1965-r9i1p2f1, s1966-r10i1p2f1, s1966-r11i1p2f1, s1966-r12i1p2f1, s1966-r13i1p2f1, s1966-r14i1p2f1, s1966-r15i1p2f1, s1966-r16i1p2f1, s1966-r17i1p2f1, s1966-r18i1p2f1, s1966-r19i1p2f1, s1966-r1i1p2f1, s1966-r20i1p2f1, s1966-r21i1p2f1, s1966-r22i1p2f1, s1966-r23i1p2f1, s1966-r24i1p2f1, s1966-r25i1p2f1, s1966-r26i1p2f1, s1966-r27i1p2f1, s1966-r28i1p2f1, s1966-r29i1p2f1, s1966-r2i1p2f1, s1966-r30i1p2f1, s1966-r31i1p2f1, s1966-r32i1p2f1, s1966-r33i1p2f1, s1966-r34i1p2f1, s1966-r35i1p2f1, s1966-r36i1p2f1, s1966-r37i1p2f1, s1966-r38i1p2f1, s1966-r39i1p2f1, s1966-r3i1p2f1, s1966-r40i1p2f1, s1966-r4i1p2f1, s1966-r5i1p2f1, s1966-r6i1p2f1, s1966-r7i1p2f1, s1966-r8i1p2f1, s1966-r9i1p2f1, s1967-r10i1p2f1, s1967-r11i1p2f1, s1967-r12i1p2f1, s1967-r13i1p2f1, s1967-r14i1p2f1, s1967-r15i1p2f1, s1967-r16i1p2f1, s1967-r17i1p2f1, s1967-r18i1p2f1, s1967-r19i1p2f1, s1967-r1i1p2f1, s1967-r20i1p2f1, s1967-r21i1p2f1, s1967-r22i1p2f1, s1967-r23i1p2f1, s1967-r24i1p2f1, s1967-r25i1p2f1, s1967-r26i1p2f1, s1967-r27i1p2f1, s1967-r28i1p2f1, s1967-r29i1p2f1, s1967-r2i1p2f1, s1967-r30i1p2f1, s1967-r31i1p2f1, s1967-r32i1p2f1, s1967-r33i1p2f1, s1967-r34i1p2f1, s1967-r35i1p2f1, s1967-r36i1p2f1, s1967-r37i1p2f1, s1967-r38i1p2f1, s1967-r39i1p2f1, s1967-r3i1p2f1, s1967-r40i1p2f1, s1967-r4i1p2f1, s1967-r5i1p2f1, s1967-r6i1p2f1, s1967-r7i1p2f1, s1967-r8i1p2f1, s1967-r9i1p2f1, s1968-r10i1p2f1, s1968-r11i1p2f1, s1968-r12i1p2f1, s1968-r13i1p2f1, s1968-r14i1p2f1, s1968-r15i1p2f1, s1968-r16i1p2f1, s1968-r17i1p2f1, s1968-r18i1p2f1, s1968-r19i1p2f1, s1968-r1i1p2f1, s1968-r20i1p2f1, s1968-r21i1p2f1, s1968-r22i1p2f1, s1968-r23i1p2f1, s1968-r24i1p2f1, s1968-r25i1p2f1, s1968-r26i1p2f1, s1968-r27i1p2f1, s1968-r28i1p2f1, s1968-r29i1p2f1, s1968-r2i1p2f1, s1968-r30i1p2f1, s1968-r31i1p2f1, s1968-r32i1p2f1, s1968-r33i1p2f1, s1968-r34i1p2f1, s1968-r35i1p2f1, s1968-r36i1p2f1, s1968-r37i1p2f1, s1968-r38i1p2f1, s1968-r39i1p2f1, 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s2019-r18i1p2f1, s2019-r19i1p2f1, s2019-r1i1p2f1, s2019-r20i1p2f1, s2019-r21i1p2f1, s2019-r22i1p2f1, s2019-r23i1p2f1, s2019-r24i1p2f1, s2019-r25i1p2f1, s2019-r26i1p2f1, s2019-r27i1p2f1, s2019-r28i1p2f1, s2019-r29i1p2f1, s2019-r2i1p2f1, s2019-r30i1p2f1, s2019-r31i1p2f1, s2019-r32i1p2f1, s2019-r33i1p2f1, s2019-r34i1p2f1, s2019-r35i1p2f1, s2019-r36i1p2f1, s2019-r37i1p2f1, s2019-r38i1p2f1, s2019-r39i1p2f1, s2019-r3i1p2f1, s2019-r40i1p2f1, s2019-r4i1p2f1, s2019-r5i1p2f1, s2019-r6i1p2f1, s2019-r7i1p2f1, s2019-r8i1p2f1 and s2019-r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29022, "uuid": "8690bf0df0a14744b808a1c9d506abc4", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-sol\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical solar-only run\" (hist-sol) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38697, "uuid": "7f73c336d40143d9aa995b9be84bab10", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-futAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and future Antarctic SIC\" (pdSST-futAntSIC) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29431, "uuid": "e6798b6bcd3e47039119c562abc7099b", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-futArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and future Arctic SIC\" (pdSST-futArcSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29188, "uuid": "dd901ee931ba43a5af60220ef41a4fdd", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon, Eday, Lmon, Oday, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38706, "uuid": "94455fdd49ae43fca2053d6b9afc5013", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-piAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and pre-industrial Antarctic SIC\" (pdSST-piAntSIC) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38667, "uuid": "24cf2e31afaa4ecda12492a83d0df5f1", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28663, "uuid": "33ae25828b8e4aaebb6b278566b0aa9a", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p2f1, r4i1p2f1 and r5i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38377, "uuid": "087d35b826ef4c6483b37cffbe593431", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28436, "uuid": "19773a880d234cd893bdd035b41d3869", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28440, "uuid": "e6f0d221a73a4bf88ceb8bc51ac99e3f", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38513, "uuid": "535fde6e4c6a478c8268760b50663047", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-cov-strgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip followed by strong-green stimulus recovery, based upon ssp245\" (ssp245-cov-strgreen) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29186, "uuid": "056c495c86504e8a9927a77d64cc87b9", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: Amon, Eday, Lmon, Oday, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28666, "uuid": "fd822601ad3044d1bf13d861a61d3e22", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28487, "uuid": "45caee5327cb4a299cb0a87a987588b9", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29037, "uuid": "f8fe4fd39253458c8c72f0ca404d1739", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"natural-only SSP2-4.5 run\" (ssp245-nat) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29640, "uuid": "bfc6c5a13087473db4536f4918faecd4", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, Eday, EdayZ, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r10i1p2f1, r11i1p1f1, r11i1p2f1, r12i1p1f1, r12i1p2f1, r13i1p1f1, r13i1p2f1, r14i1p1f1, r14i1p2f1, r15i1p1f1, r15i1p2f1, r16i1p1f1, r16i1p2f1, r17i1p1f1, r17i1p2f1, r18i1p1f1, r18i1p2f1, r19i1p1f1, r19i1p2f1, r1i1p1f1, r1i1p2f1, r20i1p1f1, r20i1p2f1, r21i1p1f1, r21i1p2f1, r22i1p1f1, r22i1p2f1, r23i1p1f1, r23i1p2f1, r24i1p1f1, r24i1p2f1, r25i1p1f1, r25i1p2f1, r2i1p1f1, r2i1p2f1, r3i1p1f1, r3i1p2f1, r4i1p1f1, r4i1p2f1, r5i1p1f1, r5i1p2f1, r6i1p1f1, r6i1p2f1, r7i1p1f1, r7i1p2f1, r8i1p1f1, r8i1p2f1, r9i1p1f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29501, "uuid": "7b84098fac6047c9a6790104db25d8a9", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29183, "uuid": "ff7fc83d44a94402b9a65c2adefd1ce6", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon, Eday, Lmon, Oday, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29034, "uuid": "4895576ba5c4493ab13af204473ce0de", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"well-mixed GHG-only SSP2-4.5 run\" (ssp245-GHG) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28468, "uuid": "7e86c0e96b094eaaa3893c7cf0e283ff", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1pctCO2-cdr\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29243, "uuid": "7e9465a911ac4610813d2221e6720d4f", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r10i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38691, "uuid": "78a236c6c34b4de295b9b4ebfa506d09", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29495, "uuid": "025b360529874fbfbc66701ad593a957", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29492, "uuid": "d766b83f00bf472f82ed9a1a6899fb87", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34308, "uuid": "d7756110fc4e4d8db69cacc265b23ed0", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Eday, EdayZ, day and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29025, "uuid": "98d5083e0fe4482d8655f4b56f9d7e47", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical stratospheric-ozone-only run\" (hist-stratO3) experiment. These are available at the following frequencies: Amon, Eday, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38501, "uuid": "890c00eafb8f425684633c0051730e76", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-cov-fossil\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip followed by increased emissions due to a fossil-fuel based recovery, based upon ssp245\" (ssp245-cov-fossil) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34299, "uuid": "67fe0be2bd53451e9d32ed931c5780c1", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Eday, EdayZ, day and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38434, "uuid": "0965e28982934720882190e10d710d8e", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-pi-cdr-pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38374, "uuid": "29adfc14c867484d9ebb82d50111ab02", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-1pct-brch-2000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"zero emissions simulation branched from 1% run after 2000 PgC cumulative emission\" (esm-1pct-brch-2000PgC) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34302, "uuid": "1c6226bbd5384a2292fd580acb5d0c34", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Eday, EdayZ, day and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28484, "uuid": "9ba84778cc364bbeb28659ec48db16a6", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38504, "uuid": "a508c01c1ef94c35b17a446de90f4ac4", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-cov-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"2-year Covid-19 emissions blip including well mixed GHG only, based upon ssp245\" (ssp245-cov-GHG) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34305, "uuid": "2252cb8ec2cf44859a60f3f09ee51432", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Eday, EdayZ, day and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38437, "uuid": "2e20a06df143460cbe0fb8c7b364de76", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"esm-pi-CO2pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28478, "uuid": "9e8f44d30f4c4259821263380d53dfa3", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: AERmon, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29437, "uuid": "e956f7aaea2842839fb91935176e4d9f", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-piArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and pre-industrial Arctic SIC\" (pdSST-piArcSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p2f1, r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r26i1p2f1, r27i1p2f1, r28i1p2f1, r29i1p2f1, r2i1p2f1, r30i1p2f1, r31i1p2f1, r32i1p2f1, r33i1p2f1, r34i1p2f1, r35i1p2f1, r36i1p2f1, r37i1p2f1, r38i1p2f1, r39i1p2f1, r3i1p2f1, r40i1p2f1, r41i1p2f1, r42i1p2f1, r43i1p2f1, r44i1p2f1, r45i1p2f1, r46i1p2f1, r47i1p2f1, r48i1p2f1, r49i1p2f1, r4i1p2f1, r50i1p2f1, r51i1p2f1, r52i1p2f1, r53i1p2f1, r54i1p2f1, r55i1p2f1, r56i1p2f1, r57i1p2f1, r58i1p2f1, r59i1p2f1, r5i1p2f1, r60i1p2f1, r61i1p2f1, r62i1p2f1, r63i1p2f1, r64i1p2f1, r65i1p2f1, r66i1p2f1, r67i1p2f1, r68i1p2f1, r69i1p2f1, r6i1p2f1, r70i1p2f1, r71i1p2f1, r72i1p2f1, r73i1p2f1, r74i1p2f1, r75i1p2f1, r76i1p2f1, r77i1p2f1, r78i1p2f1, r79i1p2f1, r7i1p2f1, r80i1p2f1, r81i1p2f1, r82i1p2f1, r83i1p2f1, r84i1p2f1, r85i1p2f1, r86i1p2f1, r87i1p2f1, r88i1p2f1, r89i1p2f1, r8i1p2f1, r90i1p2f1, r91i1p2f1, r92i1p2f1, r93i1p2f1, r94i1p2f1, r95i1p2f1, r96i1p2f1, r97i1p2f1, r98i1p2f1, r99i1p2f1 and r9i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29637, "uuid": "639552983167446c95650b6d652d780c", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: AERmon, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29180, "uuid": "63a5794e0e9640de99040f90b88abe0d", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequencies: Amon, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38700, "uuid": "b08f7e77f2754dff90a3dd500020ae89", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"pdSST-futBKSeasSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"Atmosphere time slice with present day SST and future Barents and Kara Seas SIC\" (pdSST-futBKSeasSIC) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29028, "uuid": "65800bae8e87437cb5cb5a43ce102919", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"hist-volc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"historical volcanic-only run\" (hist-volc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38597, "uuid": "b12e4c1d4d8d49a2b1b98b0ebcdb648e", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"G1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"abrupt quadrupling of CO2 plus reduction in total solar irradiance\" (G1) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29040, "uuid": "b186d562c09940658a9cb90c6abfd7f5", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"ssp245-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"stratospheric-ozone-only SSP2-4.5 run\" (ssp245-stratO3) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38817, "uuid": "eb6b35a5e8d7464591d2fd5ef55ad392", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"volc-long-eq\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the \"idealized equatorial volcanic eruption emitting 56.2 Tg SO2\" (volc-long-eq) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 120492, 120493, 120494, 120495, 120496, 120498, 120499, 120500, 120501, 165019, 120497, 165020 ], "onlineresource_set": [ 28278, 28279, 49174 ], "project_set": [ 28435 ] }, { "ob_id": 28466, "uuid": "e1a62eb3b39d4c5a9bdba05493e17f15", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM2 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29440, "uuid": "37f6b8a85db34e0ba928f8762908af98", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pdSST-futAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with present day SST and future Antarctic SIC\" (pdSST-futAntSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30926, "uuid": "695c7966ac8d40bcb0ae511b81b083df", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28827, "uuid": "730cbb63c352450e85a929e6525c90c5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29393, "uuid": "b7e7333ce0b742f89e8b571a048259f7", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30450, "uuid": "6b5385deb4e447c2b34cbba4394e3adf", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30447, "uuid": "6cf3b806cf884b2f94ee7d4819b47bf9", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"a4SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST but with SSTs from abrupt-4xCO2\" (a4SST) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29345, "uuid": "c1d10e9184bf46dab6c435a18b1fb0a3", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33672, "uuid": "c4a95da71fcb47998a8ba64b145562a1", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt-solp4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29806, "uuid": "0012571dc59a4eb19a8a8421d3f8f366", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28821, "uuid": "37222083984c493eb2996221c3461a67", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, CFmon, LImon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33666, "uuid": "cbab0df5345f4344ae6bc0cd2d6eeea6", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28624, "uuid": "399aef1a4f29498d841b59ce2646fe3b", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34043, "uuid": "db77a5eb70524c51aac6fca8cc7ae815", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29402, "uuid": "703af291ccd5456e93bb34a2d741d4ca", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-cClim\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only constant climate\" (land-cClim) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34055, "uuid": "6fa4512c9501459c82e4c1d05c276e4a", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28820, "uuid": "dd32b23f7e29424c8bc84f1f7b7678c3", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28819, "uuid": "b5f1c31821da41e995d27ab6e51b3379", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28618, "uuid": "f5ae876b301742ceac1d4aa0f18b2770", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28471, "uuid": "779e33afa6614ca492f2269b3784e0c7", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"1pctCO2-cdr\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30456, "uuid": "d1942dab9b6743c3a54c941a9bd34125", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29420, "uuid": "47ea9cce39834216854904b2225f7751", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29399, "uuid": "4850bd2f26dd4dc7949ca23dc2393dfd", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29411, "uuid": "48ed274cac224386acfb7141e7c55177", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-noFire\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only with no human fire management\" (land-noFire) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30459, "uuid": "aa64dd1ebd544ad78feed4a129827691", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piSST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST with radiation and vegetation seeing 4xCO2\" (piSST-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34046, "uuid": "49558ae46d0d41d0a454b6c9f9a9d746", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28464, "uuid": "3b6d06fd4acf46e1bba669a5494d2350", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29127, "uuid": "214bd7c0d068415a91ce6c5772cf23d4", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29446, "uuid": "1bd55585e2ad4d649abb9ffa2dc2ab47", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pdSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with present day SST and SIC\" (pdSST-pdSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29455, "uuid": "a64f3ca22e3c40e5b7354ce1cd04b924", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with pre-industrial SST and present day SIC\" (piSST-pdSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31211, "uuid": "e422a9ab280243518ebf5e27bd5b3b9e", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30462, "uuid": "a9fa70a38d174016a43d0bba5faa1f52", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piSST-4xCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST with radiation-only seeing 4xCO2\" (piSST-4xCO2-rad) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33678, "uuid": "e6a5be791dfb4486b27c08f36e46329c", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31223, "uuid": "5e793cb9def3432ab64bda34873312fe", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29452, "uuid": "1a0b2a2a828a41bd89f6c2fc1cb197ac", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pdSST-piArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with present day SST and pre-industrial Arctic SIC\" (pdSST-piArcSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28463, "uuid": "304905a60b41495d9d16c0aec1cd613c", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29405, "uuid": "faa32366cda64313857f7ef86d9ee0d1", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-cCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only constant CO2\" (land-cCO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31217, "uuid": "e379e255e785442280e27e21440134bb", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31214, "uuid": "3f508c30fa28414cb11e5f0ad83a7f50", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33675, "uuid": "7edfd7802070451cae553e9d56da276a", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-a4SST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28621, "uuid": "d5bb5fe49e2f4e5db76c2cb378d17b74", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33669, "uuid": "ec2a85c067b64a0a96a09c58b178e012", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt-solm4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt 4% decrease in solar constant\" (abrupt-solm4p) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29414, "uuid": "73be11c39dc7464d88c75dde553a7042", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29801, "uuid": "def9bf87c5f547229dbdd6056454193a", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28939, "uuid": "956b2f06ba114f7aae2529858af4a404", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29809, "uuid": "df01bfb19352452cbc31bbc07a4814b6", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29417, "uuid": "6a4b2ea8bdde40df92acf387633ebfcc", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30453, "uuid": "f4d0aa871d0a48a89210a0959033a97a", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28630, "uuid": "07c59bbbd9d64a3482c221798423f75c", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28632, "uuid": "44b1dc153a58490fa1ea8493c3a7fdda", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31220, "uuid": "54ddd1750fff4308a22473366e8b0441", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31134, "uuid": "556a774be65d4f8a9f487ca53f2dd9d5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31206, "uuid": "4710d4bea29648528925576a618fc6f5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30441, "uuid": "59356fa908ef429599440ae2335e1ef0", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"a4SSTice-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2, and 4xCO2 seen by radiation and vegetation\" (a4SSTice-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29449, "uuid": "595f622f320d4d128b3c628adf11f7a0", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pdSST-piAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with present day SST and pre-industrial Antarctic SIC\" (pdSST-piAntSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34052, "uuid": "78ece0de46974b5f92a092644bd2e673", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31131, "uuid": "d65681f9ff614706aa892da861f3499c", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31504, "uuid": "6f464d727fe3407e877ce06705f62959", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29396, "uuid": "e7bd2777af9948dda8509bff36233d36", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28631, "uuid": "188941f3dbef49789dcc5acaac33dff8", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29124, "uuid": "1c5939061665497093cd5c53e6456cb6", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34049, "uuid": "9b79d91638d744a688d9e10505349392", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33681, "uuid": "e88db213aca04be4ae47fcc6042453aa", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piSST-pxK\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST with uniform SST increase with magnitude based on abrupt-4xCO2 response\" (piSST-pxK) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29482, "uuid": "9ca9c85f3694469aac82c30eba0487f0", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30444, "uuid": "9ef0a8fadbbc42659ef5e101be74b7a5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"a4SSTice\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2\" (a4SSTice) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44427, "uuid": "2deb927b054d446e9df36c8d59096b90", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon, Emon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28627, "uuid": "9f978c9083ff426b8829f655d0527a99", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28936, "uuid": "ccce8bd701ea48e9904fbad7bc069dc3", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30465, "uuid": "63c5937948c446f18cf8c619163848b5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"piSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"experiment forced with pre-industrial SSTs, sea ice and atmospheric constituents\" (piSST) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29443, "uuid": "980d5e140bab4e748dd873dce8c4faed", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"pdSST-futArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"Atmosphere time slice with present day SST and future Arctic SIC\" (pdSST-futArcSIC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r100i1p1f1, r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r51i1p1f1, r52i1p1f1, r53i1p1f1, r54i1p1f1, r55i1p1f1, r56i1p1f1, r57i1p1f1, r58i1p1f1, r59i1p1f1, r5i1p1f1, r60i1p1f1, r61i1p1f1, r62i1p1f1, r63i1p1f1, r64i1p1f1, r65i1p1f1, r66i1p1f1, r67i1p1f1, r68i1p1f1, r69i1p1f1, r6i1p1f1, r70i1p1f1, r71i1p1f1, r72i1p1f1, r73i1p1f1, r74i1p1f1, r75i1p1f1, r76i1p1f1, r77i1p1f1, r78i1p1f1, r79i1p1f1, r7i1p1f1, r80i1p1f1, r81i1p1f1, r82i1p1f1, r83i1p1f1, r84i1p1f1, r85i1p1f1, r86i1p1f1, r87i1p1f1, r88i1p1f1, r89i1p1f1, r8i1p1f1, r90i1p1f1, r91i1p1f1, r92i1p1f1, r93i1p1f1, r94i1p1f1, r95i1p1f1, r96i1p1f1, r97i1p1f1, r98i1p1f1, r99i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29803, "uuid": "b0fb17c0fec0474ba83e9b3bf1d57647", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28824, "uuid": "b28f7dc6b3f841fcae148a2cfb9f83dc", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: AERmon, Amon, CFday, EdayZ, Emon, Eyr, ImonAnt, ImonGre, Lmon, Ofx, SImon and day. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33663, "uuid": "cdfcde67ad1e4319b0bd41c2447d5998", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29408, "uuid": "2c513cbdfa414393b977827332e5c02d", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"land-crop-noFert\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"historical land-only with no fertilizer\" (land-crop-noFert) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 120652, 120653, 120654, 120655, 120656, 120658, 120659, 120660, 120661, 165055, 120657, 165056 ], "onlineresource_set": [ 28363, 28364, 49138 ], "project_set": [ 28424 ] }, { "ob_id": 28492, "uuid": "a6b405382ac443a7aa26e520f8507e8f", "short_code": "coll", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output collection", "abstract": "The the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the CNRM-CERFACS team CNRM-CM6-1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CNRM-CERFACS, CNRM-CM6-1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28497, "uuid": "f75b00d9739c46e48932a607bd81f4ff", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFsubhr, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38603, "uuid": "2296a22793bc4cf4b150a5bc258c3606", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CF3hr, CFday, CFmon, E1hr, E3hrPt, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 28515, "uuid": "828d7acade4b40b29b9b075f7f1f706c", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38612, "uuid": "d3ffef779b724c1a8598e3813ce9136a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CF3hr, CFday, CFmon, E1hr, E3hrPt, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 29049, "uuid": "f157bddf6590464c82619b666be0c489", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28506, "uuid": "67cb406f2a3c43689a65fa72c1907067", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29133, "uuid": "69326a3241fa41cfba7431fad99f13d2", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"dcppC-amv-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"Idealized climate impact of negative AMV anomaly pattern\" (dcppC-amv-neg) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29046, "uuid": "58d32fbb4ef94e639aba3c96bc5a1303", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28494, "uuid": "3f9b30fda6d64a11bd3bcc9b9dddb8f0", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28490, "uuid": "fa346deeaeb7436c943399cddb73a730", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29667, "uuid": "e3f774d7976948a8adcd9d65133606b1", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2 and r6i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28503, "uuid": "3952158965d34062a81bf5938ba1a521", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29670, "uuid": "b29a736d4b504b8189cb0b66017696c1", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2 and r6i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28509, "uuid": "d9204f27b2de4cd885e7c3ff12038696", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29507, "uuid": "8b677742487b4aa9b88ecd870b754265", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38630, "uuid": "260006d70851490f97027ebbf5a06621", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CF3hr, CFday, CFmon, E1hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 38606, "uuid": "9160db93b4f241938a84f2691fa6d4b3", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, EmonZ, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 28675, "uuid": "508241977bbf4927b4f1ced81f3634da", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29661, "uuid": "e001e57e7bad4d33884519ff84d348ef", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2 and r6i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29513, "uuid": "0d12e82f4fb042b880d59154a8788554", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29664, "uuid": "1147da987fa44e91a75d01edfa261bbe", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2 and r6i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39925, "uuid": "b7511d7df153441b92b734da6273d4e9", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 29516, "uuid": "0b98e151ece64a04a8f14b4b6fe607b7", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28684, "uuid": "03b1894fd5cf4e868f8b83d1f34f1426", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Eday, EdayZ, Emon, Lmon, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29043, "uuid": "040fafcda58e419eaf02c08e8124e541", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29136, "uuid": "5aa516af3d894a25a5c7c7de235483d5", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"dcppC-amv-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"Idealized climate impact of positive AMV anomaly pattern\" (dcppC-amv-pos) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2, r24i1p1f2, r26i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r33i1p1f2, r35i1p1f2, r38i1p1f2, r3i1p1f2 and r4i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29519, "uuid": "26e479668cd14ca8a4b398aabcda786d", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28681, "uuid": "0530bc3a4a3a4779880420c57243c591", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, E1hr, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38600, "uuid": "79b2d6feb19e4e938c5185b3fcf3c4a5", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CF3hr, CFday, CFmon, E1hr, E3hrPt, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 29510, "uuid": "2946ccce1c8e435ca474f13b8e14a744", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28512, "uuid": "6e1653bf69d24d1ca6605f886a043a99", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFsubhr, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28678, "uuid": "c6799294b42a4888adba841f2e87bd8b", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2 and r6i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28500, "uuid": "2a42521c9e534975b5bf8b108d38592c", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip-a4SST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38464, "uuid": "c88783bccc3d4047b9b37f00e10c6d9f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E1hr, Eday, EdayZ, Efx, Emon, EmonZ, LImon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 38609, "uuid": "cddaf7afa6a2476188a2dc51ca652e12", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CF3hr, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, Emon, EmonZ, LImon, Lmon and day. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 120793, 120794, 120795, 120797, 120798, 120801, 120802, 120804, 120805, 165089, 120803, 120799, 120796, 165090, 120800 ], "onlineresource_set": [ 28441, 28442, 49097 ], "project_set": [ 28287 ] }, { "ob_id": 28521, "uuid": "d112c1f1a94541aea29653b8971f9dfb", "short_code": "coll", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38470, "uuid": "2566688797cf4fc18a13f9519f7de011", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, E1hr, E3hr, E3hrPt, Eday, EdayZ, Efx, Emon, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29378, "uuid": "ffeda722be5e4973977a304bb6957dd1", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29067, "uuid": "29004920bc1b44e590395b5213183b75", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp245-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"natural-only SSP2-4.5 run\" (ssp245-nat) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28550, "uuid": "8a6ed352fa6e4f56b9dceb89ba19678d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28529, "uuid": "8616869161ad416983f021f25ba32f0d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt-solp4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Emon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29548, "uuid": "38b449b8de9d40159904a86198a4be2e", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38543, "uuid": "5d0563ed0b714645acee7dd6107cfbce", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERmonZ, Amon, CFday, day and fx. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r1i1p1f1, s1960-r2i1p1f1, s1960-r3i1p1f1, s1960-r4i1p1f1, s1960-r5i1p1f1, s1960-r6i1p1f1, s1960-r7i1p1f1, s1960-r8i1p1f1, s1960-r9i1p1f1, s1961-r10i1p1f1, s1961-r1i1p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r7i1p1f1, s1961-r8i1p1f1, s1961-r9i1p1f1, s1962-r10i1p1f1, s1962-r1i1p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r7i1p1f1, s1962-r8i1p1f1, s1962-r9i1p1f1, s1963-r10i1p1f1, s1963-r1i1p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r7i1p1f1, s1963-r8i1p1f1, s1963-r9i1p1f1, s1964-r10i1p1f1, s1964-r1i1p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r7i1p1f1, s1964-r8i1p1f1, s1964-r9i1p1f1, s1965-r10i1p1f1, s1965-r1i1p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r7i1p1f1, s1965-r8i1p1f1, s1965-r9i1p1f1, s1966-r10i1p1f1, s1966-r1i1p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r7i1p1f1, s1966-r8i1p1f1, s1966-r9i1p1f1, s1967-r10i1p1f1, s1967-r1i1p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r7i1p1f1, s1967-r8i1p1f1, s1967-r9i1p1f1, s1968-r10i1p1f1, s1968-r1i1p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r7i1p1f1, s1968-r8i1p1f1, s1968-r9i1p1f1, s1969-r10i1p1f1, s1969-r1i1p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r7i1p1f1, s1969-r8i1p1f1, s1969-r9i1p1f1, s1970-r10i1p1f1, s1970-r1i1p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r7i1p1f1, s1970-r8i1p1f1, s1970-r9i1p1f1, s1971-r10i1p1f1, s1971-r1i1p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r7i1p1f1, s1971-r8i1p1f1, s1971-r9i1p1f1, s1972-r10i1p1f1, s1972-r1i1p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r7i1p1f1, s1972-r8i1p1f1, s1972-r9i1p1f1, s1973-r10i1p1f1, s1973-r1i1p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r7i1p1f1, s1973-r8i1p1f1, s1973-r9i1p1f1, s1974-r10i1p1f1, s1974-r1i1p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r7i1p1f1, s1974-r8i1p1f1, s1974-r9i1p1f1, s1975-r10i1p1f1, s1975-r1i1p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r7i1p1f1, s1975-r8i1p1f1, s1975-r9i1p1f1, s1976-r10i1p1f1, s1976-r1i1p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r7i1p1f1, s1976-r8i1p1f1, s1976-r9i1p1f1, s1977-r10i1p1f1, s1977-r1i1p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r7i1p1f1, s1977-r8i1p1f1, s1977-r9i1p1f1, s1978-r10i1p1f1, s1978-r1i1p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r7i1p1f1, s1978-r8i1p1f1, s1978-r9i1p1f1, s1979-r10i1p1f1, s1979-r1i1p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r7i1p1f1, s1979-r8i1p1f1, s1979-r9i1p1f1, s1980-r10i1p1f1, s1980-r1i1p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r7i1p1f1, s1980-r8i1p1f1, s1980-r9i1p1f1, s1981-r10i1p1f1, s1981-r1i1p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r7i1p1f1, s1981-r8i1p1f1, s1981-r9i1p1f1, s1982-r10i1p1f1, s1982-r1i1p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r7i1p1f1, s1982-r8i1p1f1, s1982-r9i1p1f1, s1983-r10i1p1f1, s1983-r1i1p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r7i1p1f1, s1983-r8i1p1f1, s1983-r9i1p1f1, s1984-r10i1p1f1, s1984-r1i1p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r7i1p1f1, s1984-r8i1p1f1, s1984-r9i1p1f1, s1985-r10i1p1f1, s1985-r1i1p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r7i1p1f1, s1985-r8i1p1f1, s1985-r9i1p1f1, s1986-r10i1p1f1, s1986-r1i1p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r7i1p1f1, s1986-r8i1p1f1, s1986-r9i1p1f1, s1987-r10i1p1f1, s1987-r1i1p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r7i1p1f1, s1987-r8i1p1f1, s1987-r9i1p1f1, s1988-r10i1p1f1, s1988-r1i1p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r7i1p1f1, s1988-r8i1p1f1, s1988-r9i1p1f1, s1989-r10i1p1f1, s1989-r1i1p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r7i1p1f1, s1989-r8i1p1f1, s1989-r9i1p1f1, s1990-r10i1p1f1, s1990-r1i1p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r7i1p1f1, s1990-r8i1p1f1, s1990-r9i1p1f1, s1991-r10i1p1f1, s1991-r1i1p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r7i1p1f1, s1991-r8i1p1f1, s1991-r9i1p1f1, s1992-r10i1p1f1, s1992-r1i1p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r7i1p1f1, s1992-r8i1p1f1, s1992-r9i1p1f1, s1993-r10i1p1f1, s1993-r1i1p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r7i1p1f1, s1993-r8i1p1f1, s1993-r9i1p1f1, s1994-r10i1p1f1, s1994-r1i1p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r7i1p1f1, s1994-r8i1p1f1, s1994-r9i1p1f1, s1995-r10i1p1f1, s1995-r1i1p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r7i1p1f1, s1995-r8i1p1f1, s1995-r9i1p1f1, s1996-r10i1p1f1, s1996-r1i1p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r7i1p1f1, s1996-r8i1p1f1, s1996-r9i1p1f1, s1997-r10i1p1f1, s1997-r1i1p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r7i1p1f1, s1997-r8i1p1f1, s1997-r9i1p1f1, s1998-r10i1p1f1, s1998-r1i1p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r7i1p1f1, s1998-r8i1p1f1, s1998-r9i1p1f1, s1999-r10i1p1f1, s1999-r1i1p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r7i1p1f1, s1999-r8i1p1f1, s1999-r9i1p1f1, s2000-r10i1p1f1, s2000-r1i1p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r7i1p1f1, s2000-r8i1p1f1, s2000-r9i1p1f1, s2001-r10i1p1f1, s2001-r1i1p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r7i1p1f1, s2001-r8i1p1f1, s2001-r9i1p1f1, s2002-r10i1p1f1, s2002-r1i1p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r7i1p1f1, s2002-r8i1p1f1, s2002-r9i1p1f1, s2003-r10i1p1f1, s2003-r1i1p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r7i1p1f1, s2003-r8i1p1f1, s2003-r9i1p1f1, s2004-r10i1p1f1, s2004-r1i1p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r7i1p1f1, s2004-r8i1p1f1, s2004-r9i1p1f1, s2005-r10i1p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r7i1p1f1, s2005-r8i1p1f1, s2005-r9i1p1f1, s2006-r10i1p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r7i1p1f1, s2006-r8i1p1f1, s2006-r9i1p1f1, s2007-r10i1p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r7i1p1f1, s2007-r8i1p1f1, s2007-r9i1p1f1, s2008-r10i1p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r7i1p1f1, s2008-r8i1p1f1, s2008-r9i1p1f1, s2009-r10i1p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r7i1p1f1, s2009-r8i1p1f1, s2009-r9i1p1f1, s2010-r10i1p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r7i1p1f1, s2010-r8i1p1f1, s2010-r9i1p1f1, s2011-r10i1p1f1, s2011-r1i1p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r7i1p1f1, s2011-r8i1p1f1, s2011-r9i1p1f1, s2012-r10i1p1f1, s2012-r1i1p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r7i1p1f1, s2012-r8i1p1f1, s2012-r9i1p1f1, s2013-r10i1p1f1, s2013-r1i1p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r7i1p1f1, s2013-r8i1p1f1, s2013-r9i1p1f1, s2014-r10i1p1f1, s2014-r1i1p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r7i1p1f1, s2014-r8i1p1f1, s2014-r9i1p1f1, s2015-r10i1p1f1, s2015-r1i1p1f1, s2015-r2i1p1f1, s2015-r3i1p1f1, s2015-r4i1p1f1, s2015-r5i1p1f1, s2015-r6i1p1f1, s2015-r7i1p1f1, s2015-r8i1p1f1, s2015-r9i1p1f1, s2016-r10i1p1f1, s2016-r1i1p1f1, s2016-r2i1p1f1, s2016-r3i1p1f1, s2016-r4i1p1f1, s2016-r5i1p1f1, s2016-r6i1p1f1, s2016-r7i1p1f1, s2016-r8i1p1f1 and s2016-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29703, "uuid": "399875465b86474bb75091a2e4e53bee", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, Eyr, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31103, "uuid": "e504fd1131184b3facd2125a7feacd95", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon, Eday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28526, "uuid": "6975c0ac083549699a98158cd03ee4bf", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt-solm4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt 4% decrease in solar constant\" (abrupt-solm4p) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Emon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29064, "uuid": "630f5f1037ee485295f7afd12da6298c", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp245-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"well-mixed GHG-only SSP2-4.5 run\" (ssp245-GHG) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33601, "uuid": "1cbcf92b75c44a80b209b159806aced2", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piSST-pxK\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST with uniform SST increase with magnitude based on abrupt-4xCO2 response\" (piSST-pxK) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29715, "uuid": "3ebbabd7ec59422fa77cb8e50184ef18", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequency: day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29342, "uuid": "397bcc771d7a4192894a0e8e61dcd282", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequency: Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28532, "uuid": "2142a41d2f774c56af39fa5a4ec0d2f0", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28519, "uuid": "482f0d71f3074a9995f81a89a43187eb", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38476, "uuid": "4a0e0d69e81744c58a55bd23895d3c41", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, E1hr, Eday, EdayZ, Efx, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29055, "uuid": "89ca272da71d463bb00ad08093a8b274", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29464, "uuid": "d9615a65fa4b4825a39913faf28d2525", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"midPliocene-eoi400\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"mid-Pliocene warm period\" (midPliocene-eoi400) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28716, "uuid": "d1631bd347c84abdacdcb5a6b51d72a7", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piControl-spinup\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"pre-industrial control (spin-up)\" (piControl-spinup) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33589, "uuid": "4ba724d57f434f4ebb1d78f39bd51127", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-a4SST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28556, "uuid": "dbdb2350519a481dafa8dcc044d791a3", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: Amon, CFday, CFmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34377, "uuid": "8c52a7aded874be4b92e6833becec016", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29246, "uuid": "ed2e6f560ae34db48af20d9a6ad05c77", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34086, "uuid": "a9a25aa5b9304366a233d6f7fa88cbf5", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Emon, LImon, Lmon, Odec, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29148, "uuid": "d4d62967ab0440f7b7f4a72990cb1e13", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized climate impact of positive AMV anomaly pattern\" (dcppC-amv-pos) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29224, "uuid": "baccc1061b2846e1b00bdd55a613cb96", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"G1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt quadrupling of CO2 plus reduction in total solar irradiance\" (G1) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29706, "uuid": "30b73437503f423f8f12a7bca0851102", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33598, "uuid": "8df7410719ae4b079eb044c6579d3e59", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"experiment forced with pre-industrial SSTs, sea ice and atmospheric constituents\" (piSST) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29177, "uuid": "8df9da33388d41ad8293d31ab395c9d6", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-pac-pacemaker\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"pacemaker Pacific experiment\" (dcppC-pac-pacemaker) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: s1920-r10i1p1f1, s1920-r1i1p1f1, s1920-r2i1p1f1, s1920-r3i1p1f1, s1920-r4i1p1f1, s1920-r5i1p1f1, s1920-r6i1p1f1, s1920-r7i1p1f1, s1920-r8i1p1f1 and s1920-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29268, "uuid": "f51459c829014465b1e86999104adf6b", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28565, "uuid": "3d618f5c05ef4c3fb29215e690770b92", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: 3hr, Amon, CFmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34386, "uuid": "f76765cc2d8f483d8ed5e8147ae33840", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29700, "uuid": "1708ab1cadbe44479231c319fd313d14", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29160, "uuid": "3702b79074f4416e86d89e806fd22282", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-atl-pacemaker\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"pacemaker Atlantic experiment\" (dcppC-atl-pacemaker) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: s1920-r10i1p1f1, s1920-r1i1p1f1, s1920-r2i1p1f1, s1920-r3i1p1f1, s1920-r4i1p1f1, s1920-r5i1p1f1, s1920-r6i1p1f1, s1920-r7i1p1f1, s1920-r8i1p1f1 and s1920-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29540, "uuid": "e0004461ff6141d4a0137273a2933536", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29172, "uuid": "1c2f528620d24205b81aea0e9338b904", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-ipv-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized positive IPV anomaly pattern\" (dcppC-ipv-pos) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29543, "uuid": "1c31baa18732406abe8be0fb2e62a26d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29163, "uuid": "70abab6a90ed4919b5e1c0accd0fc3b8", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-ipv-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized negative IPV anomaly pattern\" (dcppC-ipv-neg) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29545, "uuid": "0e8a1c2d347b4014a44b0f82d8993726", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r1i1p1f2, r2i1p1f1, r2i1p1f2, r3i1p1f1, r3i1p1f2, r4i1p1f1, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29061, "uuid": "708d996f6a534e6d9ea1063ba7d98ddb", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hist-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical stratospheric-ozone-only run\" (hist-stratO3) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29058, "uuid": "332c526c76874cd7946fab1e2548902c", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29426, "uuid": "72026899ba294488a0246f1aaec011e9", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Odec, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1 and r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29157, "uuid": "018ad2f605944b31b71fb76953870262", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-atl-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized Atlantic control\" (dcppC-atl-control) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33580, "uuid": "aa84be13da3a48b69d48c4eddeb19499", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"a4SSTice-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2, and 4xCO2 seen by radiation and vegetation\" (a4SSTice-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28553, "uuid": "099d7368bfab4d28b0a48d22b7578371", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29461, "uuid": "7c4ceecd5a584bb2a2aaaf345583570a", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p1f2 and r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29557, "uuid": "82ea59aece954c51ba7633e249d27220", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-spAer-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing at present day with specified anthropogenic aerosol optical properties, all forcings\" (piClim-spAer-aer) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29142, "uuid": "ff69172390ee4c3dbc6353c191a4204d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-ExTrop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized climate impact of positive extratropical AMV anomaly pattern\" (dcppC-amv-ExTrop-pos) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29697, "uuid": "cc06980803d14c1ab78e9840c0b5158f", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28523, "uuid": "52dbf6ab807f47679d21df2845ee72d0", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28541, "uuid": "4264a5b8e9bc442695609b2ba2fd134e", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29709, "uuid": "ded8a4034d85498392371312fb20da33", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34380, "uuid": "358b3f6315e24730b23fd9f57f0a0511", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38461, "uuid": "f36090c789e643ff8dd52b3b4413d438", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, ImonAnt, ImonGre, LImon, Lmon, Oday, Odec, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33595, "uuid": "53244fe01d73442fabce8c6439f0197a", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piSST-4xCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST with radiation-only seeing 4xCO2\" (piSST-4xCO2-rad) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29554, "uuid": "4dd41238c6df47e0bf684786b6712a68", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28713, "uuid": "0d5460825809424280ba4ff0a99fd3c4", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, LImon, Lmon, Oday, Odec, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29712, "uuid": "5346594eb87a45bd8ef8bb1f65478f0d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28547, "uuid": "320788b80e5341ec847a510653e55f5d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29375, "uuid": "5c434007ac584fffb6947f846e29d81d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28559, "uuid": "99b8b514007044918108ff87db95a0a1", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: 3hr, Amon, CFmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29052, "uuid": "546a2f3e5cb5445395b7894cbfdde87a", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29145, "uuid": "ad44aae59deb490093f43f053de4e8cb", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized climate impact of negative AMV anomaly pattern\" (dcppC-amv-neg) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i1p1f1, r40i1p1f1, r41i1p1f1, r42i1p1f1, r43i1p1f1, r44i1p1f1, r45i1p1f1, r46i1p1f1, r47i1p1f1, r48i1p1f1, r49i1p1f1, r4i1p1f1, r50i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33586, "uuid": "4953dc622726404f80942f27f68a8cff", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"a4SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST but with SSTs from abrupt-4xCO2\" (a4SST) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30353, "uuid": "d225dc7d1ffd4cbeaa89c867f32eb3f3", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28544, "uuid": "1338ea4335ea42779536172197df8a2e", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29174, "uuid": "2918fb2c3e614bccae6ce6f79b9ce37e", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-pac-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized Pacific control\" (dcppC-pac-control) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29717, "uuid": "5ecb7f3543a84227bfe4138e014054f6", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28535, "uuid": "af123fc367184cf5b98af6ee5982568d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29166, "uuid": "0c78694362ee4800a9e134a6289ebc3f", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-ipv-NexTrop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized negative northern extratropical IPV anomaly pattern\" (dcppC-ipv-NexTrop-neg) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28562, "uuid": "dfc4d5d7d4794fa2a403b7fb739f1e72", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29154, "uuid": "b002628fd1ff4695940fec6285c2d690", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-Trop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized positive tropical AMV anomaly pattern\" (dcppC-amv-Trop-pos) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29169, "uuid": "60adac5a58e44257b48e0b0af3351ffe", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-ipv-NexTrop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"idealized positive northern extratropical IPV anomaly pattern\" (dcppC-ipv-NexTrop-pos) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34383, "uuid": "60dc5922f13741c3bbbd866dc6798338", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29139, "uuid": "614426db43404cfeb3bf5dd51e595edf", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-ExTrop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized climate impact of negative extratropical AMV anomaly pattern\" (dcppC-amv-ExTrop-neg) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29458, "uuid": "18b4fd977ada481e827d8e6b24bd847a", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"lig127k\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"last interglacial (127k)\" (lig127k) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29551, "uuid": "18bc9a012b6d438d994426cbcad20bca", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29227, "uuid": "4dd4a59345d9453485218464b66e40fd", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38467, "uuid": "960730a953434e16800ed425ab29e6a9", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, day and fx. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33583, "uuid": "9d3affc4f0a045c287730fc367279a2d", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"a4SSTice\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2\" (a4SSTice) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29151, "uuid": "3176e26861cf411faa68b4fd74c10885", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"dcppC-amv-Trop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"Idealized climate impact of negative tropical AMV anomaly pattern\" (dcppC-amv-Trop-neg) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29560, "uuid": "dc769ad908494f8fb61e56229e34ae21", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piClim-spAer-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"effective radiative forcing at present day with specified anthropogenic aerosol optical properties, anthropogenic forcings\" (piClim-spAer-anthro) experiment. These are available at the following frequencies: Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r1i1p1f2, r2i1p1f1, r2i1p1f2, r3i1p1f1, r3i1p1f2, r4i1p1f1, r4i1p1f2 and r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33592, "uuid": "65205c6b7a20467585c40f179db0d407", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"piSST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST with radiation and vegetation seeing 4xCO2\" (piSST-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30350, "uuid": "b97fec9a5c854cf99c68831ac63fb659", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28538, "uuid": "b16227131c394c7c9689a55979181c4b", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121007, 121008, 121009, 121010, 121011, 121013, 121014, 121015, 121016, 165129, 121012, 165130 ], "onlineresource_set": [ 28526, 28527, 49142 ], "project_set": [ 28518 ] }, { "ob_id": 28586, "uuid": "40d84aa46ed044cda4c1342c321f9d59", "short_code": "coll", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28588, "uuid": "6d8ec3c4de334b96b4d399e960ee3c47", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28783, "uuid": "36de60433bb04400b7fec2f94717a4d2", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, CFsubhr, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28789, "uuid": "aac692e142964ec3864590b9d35006df", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 6hrLev, 6hrPlevPt, Amon, CFday, CFmon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29789, "uuid": "684c492ce7ce403c8bd8dd81e8ac7469", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, CFmon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29215, "uuid": "ecb9e4fc70c242eda01fbfcea549dd62", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29614, "uuid": "a9fb93c0f3294c01b40a2825e38b99e9", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29611, "uuid": "f373c63801cd42d38a523d946bd6f0c9", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29783, "uuid": "7786b19e951a4aafb78dd918080a2a0d", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, CFmon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29473, "uuid": "325071a831904161a74c6723c53d8885", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28584, "uuid": "db73a90d3572471fac654364129bc559", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28786, "uuid": "f5325ddf509d4c58b3468d84a5d0aa66", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, Amon, CFday, CFmon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29780, "uuid": "50deb78445574c9d957f053f82ab3263", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28780, "uuid": "ffd82078fdc84f75b711255c7a1fc647", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, Lmon, Omon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30422, "uuid": "1257f99b7f284878b26e3b580619efac", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29617, "uuid": "72ef41a2e1bc430e96c347e8a17bae13", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29221, "uuid": "7e25e51d6bb6409f9b2adb73b305a5d2", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29605, "uuid": "59cce93a29154c53b04585b4379a11d3", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28597, "uuid": "0416bb96b5f8497cacbc9e1e4a66f5a6", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29100, "uuid": "3577e017a162432a95acaeb0c86c4c25", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r3i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30428, "uuid": "33ad1a4e46ce4c4dbdcc299acc9c5d0c", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt-solm4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt 4% decrease in solar constant\" (abrupt-solm4p) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29608, "uuid": "a7c7d651c970453c9bc65d05e4b0e73b", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29103, "uuid": "52f75f175c7f43ac867a6c121413ff8a", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r3i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28603, "uuid": "4cd1c00694da4e5a9ebc9d0f912fff35", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29212, "uuid": "536aa48a0e69452589e97d08a01cebc4", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29777, "uuid": "45db56977ae146fa8591e88b210a8065", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28777, "uuid": "5569858afce34e6cb6a7600f6e6fa20a", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, Lmon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29106, "uuid": "00ffcf42269143769c428014d4254704", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r3i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29602, "uuid": "d6b8a4d0f5fa467eab7e06a4cbbcdf33", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28591, "uuid": "5783c00b7c7848a181ec42b96ced8420", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29786, "uuid": "1c05e4e8ee20463880adeb5f9c534bd9", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, CFmon, LImon, Lmon, Omon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29252, "uuid": "1ca4c90a9a0547888d542bb7398c109c", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28600, "uuid": "dfc59942ce9c451eb141a42003f4c960", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30425, "uuid": "22cd898ea1664ed2af8bdbf30d7ce1ea", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29798, "uuid": "35bfe5222cb349d69be47f9a63da1fa5", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 6hrLev, 6hrPlevPt, Amon, CFmon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29795, "uuid": "8afedc6415884ab698abe9f3400ebc55", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, CFmon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29209, "uuid": "1d2b7333dc3842a2833c977cbcc5aa47", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29792, "uuid": "c68db6f07125410d95a52afacf104015", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, CFmon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28594, "uuid": "ccbaf522a597490d90445b167debd235", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30923, "uuid": "e98e7efde8574e77bb98ee71cf410d58", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"hist-sol\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"historical solar-only run\" (hist-sol) experiment. These are available at the following frequencies: 3hr, Amon, day and fx. The runs included the ensemble members: r1i1p1f1, r3i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29218, "uuid": "03b10776cf83404a95f0381a42e1c012", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31501, "uuid": "eb5a16fc139f464b8bf2ad16884047fa", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt-solp4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-ESM2-0 model output for the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121389, 121390, 121391, 121392, 121393, 121395, 121396, 121397, 121398, 121394, 165217, 165218 ], "onlineresource_set": [ 28719, 28720, 49096 ], "project_set": [ 28583 ] }, { "ob_id": 28609, "uuid": "7dcfc1657ae14e3d959e578c40ebe771", "short_code": "coll", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NASA-GISS, GISS-E2-1-G", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34407, "uuid": "1b4e81d2377d4aa8850d98f726a367da", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29118, "uuid": "2364958e0cb74b11b4a70b798332b223", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"hist-sol\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical solar-only run\" (hist-sol) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34410, "uuid": "c0a13fed10fb462cac55c35b1be2c75e", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29121, "uuid": "86baf42c20b44f779684f4ace6b9bdd6", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"hist-volc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical volcanic-only run\" (hist-volc) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29112, "uuid": "5d7c035de4974cfdbe3098ee8c3fb665", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31194, "uuid": "ae5db441d25748e0950424c2295d9d55", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29339, "uuid": "75ab9f339f4b4e659c6d46abb653650e", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"1pctCO2-4xext\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"extension from year 140 of 1pctCO2 with 4xCO2\" (1pctCO2-4xext) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29476, "uuid": "305fb77f51f04d20bbbe14ed8bdebe82", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, LImon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31445, "uuid": "f3af542cfc934665a3b3d7cb5bb97962", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28795, "uuid": "765a55782c2d422485f73b15785d2eb0", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r102i1p1f1, r1i1p1f1 and r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31535, "uuid": "e188baee5fb34b408801e13a49b5c6a0", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28611, "uuid": "214a456beb8e4549a2cdaa699140c891", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r102i1p1f1 and r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30431, "uuid": "8a75cbd0b9a5431d95f3d3253dab6584", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28607, "uuid": "6f7da30e17cb4560865897c1879312bb", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31191, "uuid": "35012a5b081a44bb9bfa94bfe22fd488", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29115, "uuid": "2b20569542cf4b109f4bb780d81935b7", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31188, "uuid": "a772255d8aa74b6491dc16710170000c", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31197, "uuid": "7ee97b5c01974428b0e1202a4247db64", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31448, "uuid": "e0363e9043214d7a84f9fa887aaa8c19", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34545, "uuid": "9aac83c0c5a2456aac41cd82b57cc5c4", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f2 and r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29479, "uuid": "90d771012e944758956a60cabe4dffa1", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"midPliocene-eoi400\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"mid-Pliocene warm period\" (midPliocene-eoi400) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34404, "uuid": "f4ec5eb8730144acb177c7a2187adba7", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34401, "uuid": "f79e31e4bbdc4fc4bf0bc1bfd3dc5656", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30434, "uuid": "5389c85680ad471c94a3dc1930e7a146", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28792, "uuid": "f871666e682c4843821518df83c7f88e", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r101i1p1f1 and r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34542, "uuid": "7a21cac5000b4880aec1ca5241e758c0", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f2 and r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39928, "uuid": "02c0743ee0544ed7a8575f21598cfdf5", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28801, "uuid": "46a41d05637a4bd389b2f05f101c8426", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, Amon, Eday, Emon, EmonZ, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29109, "uuid": "f48c4185bc1e45a894aba7abb2329ee3", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28804, "uuid": "9b7d5f232f7f4b2c842b7a0eec354d31", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon, Ofx, Omon, SImon and fx. The runs included the ensemble members: r101i1p1f1, r102i1p1f1, r1i1p1f1, r1i1p1f2, r1i1p1f3 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44392, "uuid": "7767312fd2804068a74b5e4f96b36bae", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon and Omon. The runs included the ensemble member: r101i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44468, "uuid": "5aefbf44030748e3816677c74f6ee062", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i10p1f1, r1i1p1f1, r1i2p1f1, r1i3p1f1, r1i4p1f1, r1i5p1f1, r1i6p1f1, r1i7p1f1, r1i8p1f1, r1i9p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i10p1f1, r2i1p1f1, r2i2p1f1, r2i3p1f1, r2i4p1f1, r2i5p1f1, r2i6p1f1, r2i7p1f1, r2i8p1f1, r2i9p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i10p1f1, r3i1p1f1, r3i2p1f1, r3i3p1f1, r3i4p1f1, r3i5p1f1, r3i6p1f1, r3i7p1f1, r3i8p1f1, r3i9p1f1, r40i1p1f1, r4i10p1f1, r4i1p1f1, r4i2p1f1, r4i3p1f1, r4i4p1f1, r4i5p1f1, r4i6p1f1, r4i7p1f1, r4i8p1f1, r4i9p1f1, r5i10p1f1, r5i1p1f1, r5i2p1f1, r5i3p1f1, r5i4p1f1, r5i5p1f1, r5i6p1f1, r5i7p1f1, r5i8p1f1, r5i9p1f1, r6i10p1f1, r6i1p1f1, r6i2p1f1, r6i3p1f1, r6i4p1f1, r6i5p1f1, r6i6p1f1, r6i7p1f1, r6i8p1f1, r6i9p1f1, r7i10p1f1, r7i1p1f1, r7i2p1f1, r7i3p1f1, r7i4p1f1, r7i5p1f1, r7i6p1f1, r7i7p1f1, r7i8p1f1, r7i9p1f1, r8i10p1f1, r8i1p1f1, r8i2p1f1, r8i3p1f1, r8i4p1f1, r8i5p1f1, r8i6p1f1, r8i7p1f1, r8i8p1f1, r8i9p1f1, r9i10p1f1, r9i1p1f1, r9i2p1f1, r9i3p1f1, r9i4p1f1, r9i5p1f1, r9i6p1f1, r9i7p1f1, r9i8p1f1 and r9i9p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31201, "uuid": "cc3045fddad646efb91248e7fe17f125", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29390, "uuid": "9691209cd803485e9790c96d4c9ec039", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31439, "uuid": "0e836e483fed40edbd11adea27d01571", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31442, "uuid": "cff2d5c621e146af8e6a13cb6877a4b7", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble members: r1i1p3f1, r2i1p3f1, r3i1p3f1, r4i1p3f1 and r5i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121517, 121518, 121519, 121520, 121521, 121523, 121524, 121525, 121526, 121522, 165249, 165250 ], "onlineresource_set": [ 28786, 28787, 49102 ], "project_set": [ 28606 ] }, { "ob_id": 28616, "uuid": "d821e1bcff7947eab72b1be656c6d21a", "short_code": "coll", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NASA-GISS, GISS-E2-1-H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28813, "uuid": "42c2bc5cfdcb4171b2da6d9061b25de0", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28810, "uuid": "0fc6cf1e126f47b88ddd972b92de91ed", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28614, "uuid": "a8879df7815a4e18ac522c734a482476", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28816, "uuid": "a6cb0fb2dab84bca814b69a33f8de620", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28807, "uuid": "a39c542a8a0e468bacd1e01f861ad578", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-H model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121561, 121562, 121563, 121565, 121566, 121567, 121568, 121559, 121560, 121564, 165259, 165260 ], "onlineresource_set": [ 28808, 28809, 49081 ], "project_set": [ 28606 ] }, { "ob_id": 28636, "uuid": "bb0886963981420d8f673b1886173f24", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-CM4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28976, "uuid": "3b841a3744844b66b4bc95ab59befa91", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28970, "uuid": "fd0576ab91024f9abc337b7dc8936035", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, CFmon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28891, "uuid": "7bbba481ad834e00aee0787b1e219ebb", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31259, "uuid": "d1e1010fb022443db06b4aa436b6f3df", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon, CFmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31256, "uuid": "4c5bec32263e466ab82765db2c391b68", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29620, "uuid": "950789efdc9845af8aad9187ead00bcf", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30474, "uuid": "72c767f6a8db4453bf9a6b9a3eae1299", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon and Emon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28885, "uuid": "f3fb24e2ddc74b19aa53bd6009c7aa73", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30468, "uuid": "7fa60b8d35fd46c7bcaab461b36fd6aa", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFmon and Emon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28967, "uuid": "ec2a3dacebe34fd09bd9f15834c38429", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Lmon, Oday, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28897, "uuid": "4268b753ffdf4bf2b6b5fb61989c85ec", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30471, "uuid": "114701edfe444ed68548ffab8e96e726", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Emon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28638, "uuid": "df0b291df278418fa419e7dde45cade4", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29622, "uuid": "047fbb10106c46a5a96b9f226b44f1e1", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28888, "uuid": "5c4448d04433434d811379b59670bfa5", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28894, "uuid": "f897a2658ec7465c86ffa966de98b77e", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29854, "uuid": "f1fb6a7e2f7548e08bf6218adcfdde4b", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34425, "uuid": "d8a2a50234694a8b90e4e921ed499f5c", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28979, "uuid": "5f0db434097f466a8b85bc158f084969", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31253, "uuid": "dc21f832b8894a158a26b08f0e29d85f", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29827, "uuid": "60d59c9c677342a5ac164b36139de299", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28634, "uuid": "15458e026b044d1b80a9c5163e0946ca", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29824, "uuid": "a4cdb738f40046f1b375221d084033ce", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33980, "uuid": "9fdf21cc6bac42428f4f974ef41508c4", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hrClimMon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28973, "uuid": "d8676e3a5ed84273a27ba5089cf11db4", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44430, "uuid": "eb0b9fbf8a934f6c87652dd741fec0d1", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon and LImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29428, "uuid": "2aada440102040b6b8c4197b536dc473", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121655, 121656, 121657, 121658, 121659, 121661, 121662, 121663, 121664, 121660, 165283, 165284 ], "onlineresource_set": [ 28857, 28858, 49080 ], "project_set": [ 28633 ] }, { "ob_id": 28643, "uuid": "7e0da77bd086457890820aa3411e63b2", "short_code": "coll", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Beijing Climate Center (BCC) BCC-CSM2-MR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, BCC, BCC-CSM2-MR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29007, "uuid": "c298b7ae789845028a50b26b2f267bd7", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28648, "uuid": "56dc98f68b8a4a3dba1410850c5a8eae", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28872, "uuid": "5ae3439719824627b528a0fe1c828367", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29001, "uuid": "ee0646eb414b45b5a66c93b7e720e42f", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29887, "uuid": "42c502a5cc7643c59b7ca041c4777e45", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28641, "uuid": "bd5971bb66e144349a944e2cc611ab6f", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29357, "uuid": "2fd0d89639ad4bd5a37600c5b8c0b6a5", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28882, "uuid": "113ef97da1eb4ba08c046b372f5c4a0a", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28879, "uuid": "8d7fd99317454ea2ad8757bd11118941", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29625, "uuid": "f28f5a80aa2d46d3a5d9c4c852da3905", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28903, "uuid": "ddf26019a81342e6ae9c628cd0c5ea27", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29634, "uuid": "34c712813212445a8001e6c5d0fa934b", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29004, "uuid": "689aca45b345485ea1beb2abf1fef0ab", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28869, "uuid": "b4f906ce862b4322bcc9bffc3cfff5ff", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29631, "uuid": "725d5dc5871e4949a03e8086eef601e0", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38528, "uuid": "16bc4391496b456bb1a6e590e5eabccb", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERday, Amon and day. The runs included the ensemble members: s1961-r1i1p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r7i1p1f1, s1961-r8i1p1f1, s1962-r1i1p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r7i1p1f1, s1962-r8i1p1f1, s1963-r1i1p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r7i1p1f1, s1963-r8i1p1f1, s1964-r1i1p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r7i1p1f1, s1964-r8i1p1f1, s1965-r1i1p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r7i1p1f1, s1965-r8i1p1f1, s1966-r1i1p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r7i1p1f1, s1966-r8i1p1f1, s1967-r1i1p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r7i1p1f1, s1967-r8i1p1f1, s1968-r1i1p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r7i1p1f1, s1968-r8i1p1f1, s1969-r1i1p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r7i1p1f1, s1969-r8i1p1f1, s1970-r1i1p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r7i1p1f1, s1970-r8i1p1f1, s1971-r1i1p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r7i1p1f1, s1971-r8i1p1f1, s1972-r1i1p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r7i1p1f1, s1972-r8i1p1f1, s1973-r1i1p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r7i1p1f1, s1973-r8i1p1f1, s1974-r1i1p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r7i1p1f1, s1974-r8i1p1f1, s1975-r1i1p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r7i1p1f1, s1975-r8i1p1f1, s1976-r1i1p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r7i1p1f1, s1976-r8i1p1f1, s1977-r1i1p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r7i1p1f1, s1977-r8i1p1f1, s1978-r1i1p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r7i1p1f1, s1978-r8i1p1f1, s1979-r1i1p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r7i1p1f1, s1979-r8i1p1f1, s1980-r1i1p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r7i1p1f1, s1980-r8i1p1f1, s1981-r1i1p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r7i1p1f1, s1981-r8i1p1f1, s1982-r1i1p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r7i1p1f1, s1982-r8i1p1f1, s1983-r1i1p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r7i1p1f1, s1983-r8i1p1f1, s1984-r1i1p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r7i1p1f1, s1984-r8i1p1f1, s1985-r1i1p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r7i1p1f1, s1985-r8i1p1f1, s1986-r1i1p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r7i1p1f1, s1986-r8i1p1f1, s1987-r1i1p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r7i1p1f1, s1987-r8i1p1f1, s1988-r1i1p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r7i1p1f1, s1988-r8i1p1f1, s1989-r1i1p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r7i1p1f1, s1989-r8i1p1f1, s1990-r1i1p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r7i1p1f1, s1990-r8i1p1f1, s1991-r1i1p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r7i1p1f1, s1991-r8i1p1f1, s1992-r1i1p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r7i1p1f1, s1992-r8i1p1f1, s1993-r1i1p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r7i1p1f1, s1993-r8i1p1f1, s1994-r1i1p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r7i1p1f1, s1994-r8i1p1f1, s1995-r1i1p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r7i1p1f1, s1995-r8i1p1f1, s1996-r1i1p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r7i1p1f1, s1996-r8i1p1f1, s1997-r1i1p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r7i1p1f1, s1997-r8i1p1f1, s1998-r1i1p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r7i1p1f1, s1998-r8i1p1f1, s1999-r1i1p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r7i1p1f1, s1999-r8i1p1f1, s2000-r1i1p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r7i1p1f1, s2000-r8i1p1f1, s2001-r1i1p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r7i1p1f1, s2001-r8i1p1f1, s2002-r1i1p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r7i1p1f1, s2002-r8i1p1f1, s2003-r1i1p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r7i1p1f1, s2003-r8i1p1f1, s2004-r1i1p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r7i1p1f1, s2004-r8i1p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r7i1p1f1, s2005-r8i1p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r7i1p1f1, s2006-r8i1p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r7i1p1f1, s2007-r8i1p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r7i1p1f1, s2008-r8i1p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r7i1p1f1, s2009-r8i1p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r7i1p1f1, s2010-r8i1p1f1, s2011-r1i1p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r7i1p1f1, s2011-r8i1p1f1, s2012-r1i1p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r7i1p1f1, s2012-r8i1p1f1, s2013-r1i1p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r7i1p1f1, s2013-r8i1p1f1, s2014-r1i1p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r7i1p1f1 and s2014-r8i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28906, "uuid": "f3d6b37e91304c4a89f4014d6f9e1f47", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, E3hr, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29240, "uuid": "e36d388f90f8466984d1b422facdbd76", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-resIPO\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"initialized from \"historical\" run year 1870 and SSTs in tropical lobe of the IPO domain (20degS-20degN, 175degE-75degW) restored to AMIP SSTs with historical forcings\" (hist-resIPO) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29234, "uuid": "cc252a03ed204c98851ad88dc293e096", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28651, "uuid": "027516966a2b4f0f8bf9dbda1b300502", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29237, "uuid": "a25884810e494ee69b1726174be5b896", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-resAMO\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"initialized from \"historical\" run year 1870 and SSTs in the AMO domain (0deg-70degN, 70degW-0deg) restored to AMIP SSTs with historical forcings\" (hist-resAMO) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29354, "uuid": "ec79b1847ba64bb88b47a99afb003b68", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29628, "uuid": "d8f8c309dda0413487b4fa66b810c48c", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28866, "uuid": "2bbad4cb8c8a4d61b4378e12d5f743de", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29360, "uuid": "b8839b037c494e4a8db16557a0aba2a6", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28900, "uuid": "10057f43fe564aa0be81e1e06da47fea", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28875, "uuid": "b612ab6700e04130922bc1173e0bbbe6", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, CFsubhr, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28645, "uuid": "2d8989a6055e48fd844816b953317cdf", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29351, "uuid": "0bd7a3e0359a40ec8826ac1284be109d", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29348, "uuid": "ea282dc0f08c4df29e21a33582772142", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 121697, 121698, 121699, 121700, 121701, 121703, 121704, 121705, 121706, 121702, 165293, 165294 ], "onlineresource_set": [ 28877, 28878, 49082 ], "project_set": [ 28265 ] }, { "ob_id": 28736, "uuid": "a31ca90e3d524c99aef5d8223135f397", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team MIROC-ES2L model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC-ES2L", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 39266, "uuid": "f9fabd57792e47428102abdee3819ecc", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-pi-CO2pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29744, "uuid": "bdc9e9227bda47d18b6ad6f76106885d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, LImon, Lmon, Ofx, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39263, "uuid": "4b8808ddde7f4185bdcaa8fc750a61b0", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emissions driven 1% run\" (esm-1pctCO2) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 33861, "uuid": "5d4bb3a0615c4afabcd66416475d6493", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERhr, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29753, "uuid": "311a1c5f99b04205bbf07667ba79031e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, LImon, Lmon, Ofx, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38395, "uuid": "f0f84169b2d442dab41b96a5c4b72a4d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2Ndep-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment with increasing N-deposition\" (1pctCO2Ndep-bgc) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29470, "uuid": "7bbc52524ce74a8cba9e12cdbb66ef71", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38407, "uuid": "ab6754b1072b4d88bcddabda755da8cb", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"hist-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 28734, "uuid": "e35c8434db544abf80edcd182b6b69dc", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34536, "uuid": "e67b1e3eb63146b5915bc07ba8ad3510", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFmon, Eday, LImon, Lmon, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28744, "uuid": "3038b7cf16f04b44ab161f4b21cdf64e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29750, "uuid": "31e2b788ba854577aac74caa5bebaed6", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, LImon, Lmon, Ofx, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38410, "uuid": "c22f0140f83a4c00b0c6db4df0a276a8", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp534-over-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of the RCP3.4-overshoot based on SSP5\" (ssp534-over-bgc) experiment. These are available at the following frequencies: Amon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39254, "uuid": "6c1c14bfec594b2ba6059e0cdd60a973", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39274, "uuid": "b780a70e91484dd7b2fe2a2949a9ac8e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38787, "uuid": "75db688daa3e42d6b27d1dd5b4f6b40b", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"lig127k\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"last interglacial (127k)\" (lig127k) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38440, "uuid": "ca8ce4ca80814a8481e9041a43ab3f19", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2-cdr\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29467, "uuid": "06d0f2ecd5ef4ac699f92abd6e3623f9", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"lgm\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"last glacial maximum\" (lgm) experiment. These are available at the following frequencies: Amon, Omon and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28738, "uuid": "269b76dee5eb48479406f7e5107fdbc6", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39260, "uuid": "5c1652e39f5b45aba3fcd49eb268ea99", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pct-brch-2000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"zero emissions simulation branched from 1% run after 2000 PgC cumulative emission\" (esm-1pct-brch-2000PgC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39335, "uuid": "536f725eaf3c4e118b197fd8932e741c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"past1000\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39338, "uuid": "84fd5ae665a14bf897d3c279daef376e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-strat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment with partial radiative forcing, includes only stratospheric warming\" (volc-pinatubo-strat) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39332, "uuid": "233ea8a2c38a4998803da96589ee0a9d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 39341, "uuid": "0ee549411aa34a119dc28df12ec4900d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-surf\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment with partial radiative forcing, solar radiation scattering only\" (volc-pinatubo-surf) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29756, "uuid": "45d918705b834889997848bbc24b2b25", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, LImon, Lmon, Ofx, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39329, "uuid": "39229329653949169f7fad906118376a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38398, "uuid": "7a1eab754a434b61b1b71a1b47f903a4", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38479, "uuid": "5f4345de2bbb404db1f28006a8aa4a2d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and fx. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 40288, "uuid": "07954daa05574788b3f9c5303c80af42", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-pi-cdr-pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38401, "uuid": "993fde9690764abf9b56658ce9895496", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pct-brch-750PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"zero emissions simulation branched from 1% run after 750 PgC cumulative emission\" (esm-1pct-brch-750PgC) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38404, "uuid": "0af81793202a4a02876bb8a4500ab67e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 33864, "uuid": "b8838a4c17e54acb87b7d78e2ed0a7ad", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38443, "uuid": "001d5265ceb24c70a82b3eadf464d1f4", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emission-driven SSP5-3.4-OS scenario\" (esm-ssp534-over) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 29747, "uuid": "e9098c0c3cbb4e5fb81e554cd174bc1d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, LImon, Lmon, Ofx, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39326, "uuid": "9680812ea2024bf3b9d7ea81443cb768", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38685, "uuid": "9f3713499044447d8984381b4187ee43", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38389, "uuid": "96d519fcf39d43589d2d2281cbdc95a8", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38823, "uuid": "2f8396c5b0da4028a1345f94bf6c1a8b", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-long-eq\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"idealized equatorial volcanic eruption emitting 56.2 Tg SO2\" (volc-long-eq) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38413, "uuid": "2fb2d315f7f6490dbc47324224c960d2", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 38392, "uuid": "cd42f74d09ee4875bfb28312d7fbd7f1", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"1pctCO2Ndep\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"1 percent per year increasing CO2 experiment with increasing N-deposition\" (1pctCO2Ndep) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 28741, "uuid": "3294f0efdafb489084b1dee7a9f9037c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: AERmon. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39257, "uuid": "ce2f69ecfc224e94bc70d60bd08ebb23", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pct-brch-1000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 122305, 122306, 122307, 122309, 122310, 122313, 122314, 122316, 122317, 122308, 122311, 122315, 165417, 165418, 122312 ], "onlineresource_set": [ 29360, 29361, 49149 ], "project_set": [ 28348 ] }, { "ob_id": 28749, "uuid": "014568b39a754538a27e25f24e7f1fca", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28752, "uuid": "c25b44bc9b9049c7a0e89ec6968311b5", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3, r4i1p1f3 and r5i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33616, "uuid": "4b8bda4263824fcb95e45633400b20fd", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29759, "uuid": "603e1649ea464df58012c16a807145d3", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34398, "uuid": "3b35d040f7464e23932fce5aec64fa2b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3 and r3i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30410, "uuid": "25a41b2591dc4e33be7c44518298f10c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piSST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST with radiation and vegetation seeing 4xCO2\" (piSST-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31161, "uuid": "f28351a1171d4c739d942ed64729ae05", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28750, "uuid": "f77431490e094075ae6a528b8bff8a5a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31421, "uuid": "4019fe67916546c086d925df028843f9", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30416, "uuid": "40402e7dafe545b78210a7b5efa25add", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piSST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"experiment forced with pre-industrial SSTs, sea ice and atmospheric constituents\" (piSST) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30398, "uuid": "3aeefedaf27a467cb8a900fb85b65f81", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r5i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30383, "uuid": "82ce3f0c4a7b461db5fe4d78b4a48ac4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"a4SSTice-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2, and 4xCO2 seen by radiation and vegetation\" (a4SSTice-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31155, "uuid": "ac98fb31e923422a97dd161024b314a1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33640, "uuid": "486de6091d8e402a929ad03a1e078fee", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31164, "uuid": "87bbd7e470a44a8a95c15358f7c69093", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28755, "uuid": "209d2e44deb942429e5c8b58f03223f1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31424, "uuid": "4d9fc9315d0e4997a4b7a97e8cad641b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3 and r3i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28747, "uuid": "8a27551fb8fa44e68b173de4b0198344", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33625, "uuid": "1f68c285f56a43cdb9ba975256ab6a08", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, SImon and day. The runs included the ensemble member: r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30407, "uuid": "3cf14b54b2d346d4b822390bb70cbc2c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30419, "uuid": "adc3d0468737443591945af89df46ec2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piSST-pxK\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST with uniform SST increase with magnitude based on abrupt-4xCO2 response\" (piSST-pxK) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33962, "uuid": "90e73ed0ff7b41cb991d7a7ceb56301e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"ssp245-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"well-mixed GHG-only SSP2-4.5 run\" (ssp245-GHG) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31167, "uuid": "919e46054ecc40af9f8d867921a5f3aa", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29293, "uuid": "111438560fd147f39e323413a9150e4f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31158, "uuid": "09e5f1deb0c94fccbdcb5a82144cf8d2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33619, "uuid": "9881facac9f843999b20b5e8904552d7", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38648, "uuid": "934b84667f2f471c80731434b7f0f619", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i2p1f1, r1i3p1f1 and r1i4p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34226, "uuid": "161d45715ea2413bb771a424e4121be8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31152, "uuid": "b22a3fc6b2374a029212d16bfb3f8305", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30413, "uuid": "32eb579621274397b39bc68fc4d12220", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piSST-4xCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST with radiation-only seeing 4xCO2\" (piSST-4xCO2-rad) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34395, "uuid": "7b72224bfe1b48f5842fc73eac5ae123", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3 and r3i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30392, "uuid": "b7d014a01bf74f37bb139fdfb08852d5", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r5i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30404, "uuid": "7852657e0f624754bb71cf071b2ed7a4", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r5i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28758, "uuid": "23a6910ac8f34abab6016b981e15b2a3", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33631, "uuid": "d423be0e9723459994dc0c22d322bb1b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34242, "uuid": "d3b75aa48d074e2a8e2915bed0a0b87d", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33634, "uuid": "9953bf3fd2ac4d5481e1955bc6ad1271", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34223, "uuid": "54024d0214e7450eb4d92fff91887ad1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"land-hist-cruNcep\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as land-hist with CRU-NCEP forcings\" (land-hist-cruNcep) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34389, "uuid": "f8a53a35d3a743038a2e59d07463f8e7", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3 and r3i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30401, "uuid": "54fb6672b82749da80bda4487e88cab2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r5i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34392, "uuid": "9a0b40a6df304d2c8bc1456cbc8678aa", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3 and r3i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33637, "uuid": "017783a0b96d4b3e97cd2265f307c913", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: Amon, CFmon, Emon, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 41259, "uuid": "06b68e3877e943aabf7d917bcbedf750", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-sol\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical solar-only run\" (hist-sol) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3, r20i1p1f3, r21i1p1f3, r22i1p1f3, r23i1p1f3, r24i1p1f3, r25i1p1f3, r26i1p1f3, r27i1p1f3, r28i1p1f3, r29i1p1f3, r30i1p1f3, r31i1p1f3, r32i1p1f3, r33i1p1f3, r34i1p1f3, r35i1p1f3, r36i1p1f3, r37i1p1f3, r38i1p1f3, r39i1p1f3, r40i1p1f3, r41i1p1f3, r42i1p1f3, r43i1p1f3, r44i1p1f3, r45i1p1f3, r46i1p1f3, r47i1p1f3, r48i1p1f3, r49i1p1f3, r50i1p1f3, r51i1p1f3, r52i1p1f3, r53i1p1f3, r54i1p1f3, r55i1p1f3, r56i1p1f3, r57i1p1f3, r58i1p1f3, r59i1p1f3 and r60i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33628, "uuid": "6f08d68ae95446699f14954bba18e02b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, SImon and day. The runs included the ensemble member: r5i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30389, "uuid": "7744d57fb51642e2935a1571ca7ee428", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"a4SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST but with SSTs from abrupt-4xCO2\" (a4SST) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 41194, "uuid": "a45e0dad6eb1438cac07b38b13b7dcc0", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-totalO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical total ozone-only run\" (hist-totalO3) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3, r20i1p1f3, r21i1p1f3, r22i1p1f3, r23i1p1f3, r24i1p1f3, r25i1p1f3, r26i1p1f3, r27i1p1f3, r28i1p1f3, r29i1p1f3 and r30i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31057, "uuid": "23011b7eebfa4b2d99d6e6ebd842a64c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 41197, "uuid": "250226f551d14f0586456b37620f21d0", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-volc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical volcanic-only run\" (hist-volc) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3 and r20i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29094, "uuid": "9bee152281104eeaac29aef4adace7fe", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33622, "uuid": "9e4de2524ff94c61a3b60b41e5642d09", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt-solp4p\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29296, "uuid": "c729698e6e934caa9e93d616434b7105", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29091, "uuid": "cdc3440625e644d68f991cd9f6b226bf", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30395, "uuid": "cf3ee2ce9f1746ee858a4925b1facf3c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"amip-a4SST-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30386, "uuid": "cff165e0ce1343a386e8ee77dacef4d8", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"a4SSTice\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"as piSST but with SSTs and sea ice from abrupt-4xCO2\" (a4SSTice) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33643, "uuid": "2abf34fa4e53486cbeaa0cf71b85f329", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: Amon, CFmon, Emon, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29097, "uuid": "2bf339adf871466e839619c8d493a5eb", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 122403, 122404, 122405, 122406, 122407, 122409, 122410, 122411, 122412, 122408, 165435, 165436 ], "onlineresource_set": [ 29402, 29403, 49133 ], "project_set": [ 28398 ] }, { "ob_id": 28763, "uuid": "7fbf7e27ef554981bfff17d6f14f9d8a", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-MM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33989, "uuid": "f303a5a6bb844782ba49f720091bf2f6", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-forecast-addAgung\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"2015 forecast with added Agung forcing\" (dcppC-forecast-addAgung) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s2014-r10i1p1f2, s2014-r1i1p1f2, s2014-r2i1p1f2, s2014-r3i1p1f2, s2014-r4i1p1f2, s2014-r5i1p1f2, s2014-r6i1p1f2, s2014-r7i1p1f2, s2014-r8i1p1f2 and s2014-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30791, "uuid": "353a9812e02c44e4b67f47bb659f3a89", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38769, "uuid": "6cf0397065984d1484fd06d5b4b09159", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"piSST-piSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with pre-industrial SST and SIC\" (piSST-piSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33998, "uuid": "cdb848afef3c4342b4bb606f4a3a288c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-hindcast-noAgung\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hindcast but with only background volcanic forcing to be the same as that used in the 2015 forecast\" (dcppC-hindcast-noAgung) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s1962-r10i1p1f2, s1962-r1i1p1f2, s1962-r2i1p1f2, s1962-r3i1p1f2, s1962-r4i1p1f2, s1962-r5i1p1f2, s1962-r6i1p1f2, s1962-r7i1p1f2, s1962-r8i1p1f2 and s1962-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38579, "uuid": "38d5656042174c9aa6da46b4d0a59ac5", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-pac-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized Pacific control\" (dcppC-pac-control) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39778, "uuid": "e53831e4dfec4537b7cc93d53ab94f4c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppA-assim\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Assimilation run paralleling the historical simulation, which may be used to generate hindcast initial conditions\" (dcppA-assim) experiment. These are available at the following frequency: Omon. The runs included the ensemble members: r10i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38802, "uuid": "c300835d0a5d4620b33b96c714e4688a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3, r2i1p1f3, r3i1p1f3 and r4i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38570, "uuid": "14a1c55037314a17b5906054e650cf0e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-atl-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized Atlantic control\" (dcppC-atl-control) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38718, "uuid": "fc5b585a6b7f476f896af2771f8a289c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"modelSST-futArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day coupled model SST and future Arctic SIC\" (modelSST-futArcSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34004, "uuid": "6fd28095c2e34671b8e6476c69d8891b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-hindcast-noPinatubo\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hindcast but with only background volcanic forcing to be the same as that used in the 2015 forecast\" (dcppC-hindcast-noPinatubo) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s1990-r10i1p1f2, s1990-r1i1p1f2, s1990-r2i1p1f2, s1990-r3i1p1f2, s1990-r4i1p1f2, s1990-r5i1p1f2, s1990-r6i1p1f2, s1990-r7i1p1f2, s1990-r8i1p1f2 and s1990-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39251, "uuid": "3fe603efac3646a2a2aa0a1513a3833a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s1960-r10i1p1f2, s1960-r1i1p1f2, s1960-r2i1p1f2, s1960-r3i1p1f2, s1960-r4i1p1f2, s1960-r5i1p1f2, s1960-r6i1p1f2, s1960-r7i1p1f2, s1960-r8i1p1f2, s1960-r9i1p1f2, s1961-r10i1p1f2, s1961-r1i1p1f2, s1961-r2i1p1f2, s1961-r3i1p1f2, s1961-r4i1p1f2, s1961-r5i1p1f2, s1961-r6i1p1f2, s1961-r7i1p1f2, s1961-r8i1p1f2, s1961-r9i1p1f2, s1962-r10i1p1f2, s1962-r1i1p1f2, s1962-r2i1p1f2, s1962-r3i1p1f2, s1962-r4i1p1f2, s1962-r5i1p1f2, s1962-r6i1p1f2, s1962-r7i1p1f2, s1962-r8i1p1f2, s1962-r9i1p1f2, s1963-r10i1p1f2, s1963-r1i1p1f2, s1963-r2i1p1f2, s1963-r3i1p1f2, s1963-r4i1p1f2, s1963-r5i1p1f2, s1963-r6i1p1f2, s1963-r7i1p1f2, s1963-r8i1p1f2, s1963-r9i1p1f2, s1964-r10i1p1f2, s1964-r1i1p1f2, s1964-r2i1p1f2, s1964-r3i1p1f2, s1964-r4i1p1f2, s1964-r5i1p1f2, s1964-r6i1p1f2, s1964-r7i1p1f2, s1964-r8i1p1f2, s1964-r9i1p1f2, s1965-r10i1p1f2, s1965-r1i1p1f2, s1965-r2i1p1f2, s1965-r3i1p1f2, s1965-r4i1p1f2, s1965-r5i1p1f2, s1965-r6i1p1f2, s1965-r7i1p1f2, s1965-r8i1p1f2, s1965-r9i1p1f2, s1966-r10i1p1f2, s1966-r1i1p1f2, s1966-r2i1p1f2, s1966-r3i1p1f2, s1966-r4i1p1f2, s1966-r5i1p1f2, s1966-r6i1p1f2, s1966-r7i1p1f2, s1966-r8i1p1f2, s1966-r9i1p1f2, s1967-r10i1p1f2, s1967-r1i1p1f2, s1967-r2i1p1f2, s1967-r3i1p1f2, s1967-r4i1p1f2, s1967-r5i1p1f2, s1967-r6i1p1f2, s1967-r7i1p1f2, s1967-r8i1p1f2, s1967-r9i1p1f2, s1968-r10i1p1f2, s1968-r1i1p1f2, s1968-r2i1p1f2, s1968-r3i1p1f2, s1968-r4i1p1f2, s1968-r5i1p1f2, s1968-r6i1p1f2, s1968-r7i1p1f2, s1968-r8i1p1f2, s1968-r9i1p1f2, s1969-r10i1p1f2, s1969-r1i1p1f2, s1969-r2i1p1f2, s1969-r3i1p1f2, s1969-r4i1p1f2, s1969-r5i1p1f2, s1969-r6i1p1f2, s1969-r7i1p1f2, s1969-r8i1p1f2, s1969-r9i1p1f2, s1970-r10i1p1f2, s1970-r1i1p1f2, s1970-r2i1p1f2, s1970-r3i1p1f2, s1970-r4i1p1f2, s1970-r5i1p1f2, s1970-r6i1p1f2, s1970-r7i1p1f2, s1970-r8i1p1f2, s1970-r9i1p1f2, s1971-r10i1p1f2, s1971-r1i1p1f2, s1971-r2i1p1f2, s1971-r3i1p1f2, s1971-r4i1p1f2, s1971-r5i1p1f2, s1971-r6i1p1f2, s1971-r7i1p1f2, s1971-r8i1p1f2, s1971-r9i1p1f2, s1972-r10i1p1f2, s1972-r1i1p1f2, s1972-r2i1p1f2, s1972-r3i1p1f2, s1972-r4i1p1f2, s1972-r5i1p1f2, s1972-r6i1p1f2, s1972-r7i1p1f2, s1972-r8i1p1f2, s1972-r9i1p1f2, s1973-r10i1p1f2, s1973-r1i1p1f2, s1973-r2i1p1f2, s1973-r3i1p1f2, s1973-r4i1p1f2, s1973-r5i1p1f2, s1973-r6i1p1f2, s1973-r7i1p1f2, s1973-r8i1p1f2, s1973-r9i1p1f2, s1974-r10i1p1f2, s1974-r1i1p1f2, s1974-r2i1p1f2, s1974-r3i1p1f2, s1974-r4i1p1f2, s1974-r5i1p1f2, s1974-r6i1p1f2, s1974-r7i1p1f2, s1974-r8i1p1f2, s1974-r9i1p1f2, s1975-r10i1p1f2, s1975-r1i1p1f2, s1975-r2i1p1f2, s1975-r3i1p1f2, s1975-r4i1p1f2, s1975-r5i1p1f2, s1975-r6i1p1f2, s1975-r7i1p1f2, s1975-r8i1p1f2, s1975-r9i1p1f2, s1976-r10i1p1f2, s1976-r1i1p1f2, s1976-r2i1p1f2, s1976-r3i1p1f2, s1976-r4i1p1f2, s1976-r5i1p1f2, s1976-r6i1p1f2, s1976-r7i1p1f2, s1976-r8i1p1f2, s1976-r9i1p1f2, s1977-r10i1p1f2, s1977-r1i1p1f2, s1977-r2i1p1f2, s1977-r3i1p1f2, s1977-r4i1p1f2, s1977-r5i1p1f2, s1977-r6i1p1f2, s1977-r7i1p1f2, s1977-r8i1p1f2, s1977-r9i1p1f2, s1978-r10i1p1f2, s1978-r1i1p1f2, s1978-r2i1p1f2, s1978-r3i1p1f2, s1978-r4i1p1f2, s1978-r5i1p1f2, s1978-r6i1p1f2, s1978-r7i1p1f2, s1978-r8i1p1f2, s1978-r9i1p1f2, s1979-r10i1p1f2, s1979-r1i1p1f2, s1979-r2i1p1f2, s1979-r3i1p1f2, s1979-r4i1p1f2, s1979-r5i1p1f2, s1979-r6i1p1f2, s1979-r7i1p1f2, s1979-r8i1p1f2, s1979-r9i1p1f2, s1980-r10i1p1f2, s1980-r1i1p1f2, s1980-r2i1p1f2, s1980-r3i1p1f2, s1980-r4i1p1f2, s1980-r5i1p1f2, s1980-r6i1p1f2, s1980-r7i1p1f2, s1980-r8i1p1f2, s1980-r9i1p1f2, s1981-r10i1p1f2, s1981-r1i1p1f2, s1981-r2i1p1f2, s1981-r3i1p1f2, s1981-r4i1p1f2, s1981-r5i1p1f2, s1981-r6i1p1f2, s1981-r7i1p1f2, s1981-r8i1p1f2, s1981-r9i1p1f2, s1982-r10i1p1f2, s1982-r1i1p1f2, s1982-r2i1p1f2, s1982-r3i1p1f2, s1982-r4i1p1f2, s1982-r5i1p1f2, s1982-r6i1p1f2, s1982-r7i1p1f2, s1982-r8i1p1f2, s1982-r9i1p1f2, s1983-r10i1p1f2, s1983-r1i1p1f2, s1983-r2i1p1f2, s1983-r3i1p1f2, s1983-r4i1p1f2, s1983-r5i1p1f2, s1983-r6i1p1f2, s1983-r7i1p1f2, s1983-r8i1p1f2, s1983-r9i1p1f2, s1984-r10i1p1f2, s1984-r1i1p1f2, s1984-r2i1p1f2, s1984-r3i1p1f2, s1984-r4i1p1f2, s1984-r5i1p1f2, s1984-r6i1p1f2, s1984-r7i1p1f2, s1984-r8i1p1f2, s1984-r9i1p1f2, s1985-r10i1p1f2, s1985-r1i1p1f2, s1985-r2i1p1f2, s1985-r3i1p1f2, s1985-r4i1p1f2, s1985-r5i1p1f2, s1985-r6i1p1f2, s1985-r7i1p1f2, s1985-r8i1p1f2, s1985-r9i1p1f2, s1986-r10i1p1f2, s1986-r1i1p1f2, s1986-r2i1p1f2, s1986-r3i1p1f2, s1986-r4i1p1f2, s1986-r5i1p1f2, s1986-r6i1p1f2, s1986-r7i1p1f2, s1986-r8i1p1f2, s1986-r9i1p1f2, s1987-r10i1p1f2, s1987-r1i1p1f2, s1987-r2i1p1f2, s1987-r3i1p1f2, s1987-r4i1p1f2, s1987-r5i1p1f2, s1987-r6i1p1f2, s1987-r7i1p1f2, s1987-r8i1p1f2, s1987-r9i1p1f2, s1988-r10i1p1f2, s1988-r1i1p1f2, s1988-r2i1p1f2, s1988-r3i1p1f2, s1988-r4i1p1f2, s1988-r5i1p1f2, s1988-r6i1p1f2, s1988-r7i1p1f2, s1988-r8i1p1f2, s1988-r9i1p1f2, s1989-r10i1p1f2, s1989-r1i1p1f2, s1989-r2i1p1f2, s1989-r3i1p1f2, s1989-r4i1p1f2, s1989-r5i1p1f2, s1989-r6i1p1f2, s1989-r7i1p1f2, s1989-r8i1p1f2, s1989-r9i1p1f2, s1990-r10i1p1f2, s1990-r1i1p1f2, s1990-r2i1p1f2, s1990-r3i1p1f2, s1990-r4i1p1f2, s1990-r5i1p1f2, s1990-r6i1p1f2, s1990-r7i1p1f2, s1990-r8i1p1f2, s1990-r9i1p1f2, s1991-r10i1p1f2, s1991-r1i1p1f2, s1991-r2i1p1f2, s1991-r3i1p1f2, s1991-r4i1p1f2, s1991-r5i1p1f2, s1991-r6i1p1f2, s1991-r7i1p1f2, s1991-r8i1p1f2, s1991-r9i1p1f2, s1992-r10i1p1f2, s1992-r1i1p1f2, s1992-r2i1p1f2, s1992-r3i1p1f2, s1992-r4i1p1f2, s1992-r5i1p1f2, s1992-r6i1p1f2, s1992-r7i1p1f2, s1992-r8i1p1f2, s1992-r9i1p1f2, s1993-r10i1p1f2, s1993-r1i1p1f2, s1993-r2i1p1f2, s1993-r3i1p1f2, s1993-r4i1p1f2, s1993-r5i1p1f2, s1993-r6i1p1f2, s1993-r7i1p1f2, s1993-r8i1p1f2, s1993-r9i1p1f2, s1994-r10i1p1f2, s1994-r1i1p1f2, s1994-r2i1p1f2, s1994-r3i1p1f2, s1994-r4i1p1f2, s1994-r5i1p1f2, s1994-r6i1p1f2, s1994-r7i1p1f2, s1994-r8i1p1f2, s1994-r9i1p1f2, s1995-r10i1p1f2, s1995-r1i1p1f2, s1995-r2i1p1f2, s1995-r3i1p1f2, s1995-r4i1p1f2, s1995-r5i1p1f2, s1995-r6i1p1f2, s1995-r7i1p1f2, s1995-r8i1p1f2, s1995-r9i1p1f2, s1996-r10i1p1f2, s1996-r1i1p1f2, s1996-r2i1p1f2, s1996-r3i1p1f2, s1996-r4i1p1f2, s1996-r5i1p1f2, s1996-r6i1p1f2, s1996-r7i1p1f2, s1996-r8i1p1f2, s1996-r9i1p1f2, s1997-r10i1p1f2, s1997-r1i1p1f2, s1997-r2i1p1f2, s1997-r3i1p1f2, s1997-r4i1p1f2, s1997-r5i1p1f2, s1997-r6i1p1f2, s1997-r7i1p1f2, s1997-r8i1p1f2, s1997-r9i1p1f2, s1998-r10i1p1f2, s1998-r1i1p1f2, s1998-r2i1p1f2, s1998-r3i1p1f2, s1998-r4i1p1f2, s1998-r5i1p1f2, s1998-r6i1p1f2, s1998-r7i1p1f2, s1998-r8i1p1f2, s1998-r9i1p1f2, s1999-r10i1p1f2, s1999-r1i1p1f2, s1999-r2i1p1f2, s1999-r3i1p1f2, s1999-r4i1p1f2, s1999-r5i1p1f2, s1999-r6i1p1f2, s1999-r7i1p1f2, s1999-r8i1p1f2, s1999-r9i1p1f2, s2000-r10i1p1f2, s2000-r1i1p1f2, s2000-r2i1p1f2, s2000-r3i1p1f2, s2000-r4i1p1f2, s2000-r5i1p1f2, s2000-r6i1p1f2, s2000-r7i1p1f2, s2000-r8i1p1f2, s2000-r9i1p1f2, s2001-r10i1p1f2, s2001-r1i1p1f2, s2001-r2i1p1f2, s2001-r3i1p1f2, s2001-r4i1p1f2, s2001-r5i1p1f2, s2001-r6i1p1f2, s2001-r7i1p1f2, s2001-r8i1p1f2, s2001-r9i1p1f2, s2002-r10i1p1f2, s2002-r1i1p1f2, s2002-r2i1p1f2, s2002-r3i1p1f2, s2002-r4i1p1f2, s2002-r5i1p1f2, s2002-r6i1p1f2, s2002-r7i1p1f2, s2002-r8i1p1f2, s2002-r9i1p1f2, s2003-r10i1p1f2, s2003-r1i1p1f2, s2003-r2i1p1f2, s2003-r3i1p1f2, s2003-r4i1p1f2, s2003-r5i1p1f2, s2003-r6i1p1f2, s2003-r7i1p1f2, s2003-r8i1p1f2, s2003-r9i1p1f2, s2004-r10i1p1f2, s2004-r1i1p1f2, s2004-r2i1p1f2, s2004-r3i1p1f2, s2004-r4i1p1f2, s2004-r5i1p1f2, s2004-r6i1p1f2, s2004-r7i1p1f2, s2004-r8i1p1f2, s2004-r9i1p1f2, s2005-r10i1p1f2, s2005-r1i1p1f2, s2005-r2i1p1f2, s2005-r3i1p1f2, s2005-r4i1p1f2, s2005-r5i1p1f2, s2005-r6i1p1f2, s2005-r7i1p1f2, s2005-r8i1p1f2, s2005-r9i1p1f2, s2006-r10i1p1f2, s2006-r1i1p1f2, s2006-r2i1p1f2, s2006-r3i1p1f2, s2006-r4i1p1f2, s2006-r5i1p1f2, s2006-r6i1p1f2, s2006-r7i1p1f2, s2006-r8i1p1f2, s2006-r9i1p1f2, s2007-r10i1p1f2, s2007-r1i1p1f2, s2007-r2i1p1f2, s2007-r3i1p1f2, s2007-r4i1p1f2, s2007-r5i1p1f2, s2007-r6i1p1f2, s2007-r7i1p1f2, s2007-r8i1p1f2, s2007-r9i1p1f2, s2008-r10i1p1f2, s2008-r1i1p1f2, s2008-r2i1p1f2, s2008-r3i1p1f2, s2008-r4i1p1f2, s2008-r5i1p1f2, s2008-r6i1p1f2, s2008-r7i1p1f2, s2008-r8i1p1f2, s2008-r9i1p1f2, s2009-r10i1p1f2, s2009-r1i1p1f2, s2009-r2i1p1f2, s2009-r3i1p1f2, s2009-r4i1p1f2, s2009-r5i1p1f2, s2009-r6i1p1f2, s2009-r7i1p1f2, s2009-r8i1p1f2, s2009-r9i1p1f2, s2010-r10i1p1f2, s2010-r1i1p1f2, s2010-r2i1p1f2, s2010-r3i1p1f2, s2010-r4i1p1f2, s2010-r5i1p1f2, s2010-r6i1p1f2, s2010-r7i1p1f2, s2010-r8i1p1f2, s2010-r9i1p1f2, s2011-r10i1p1f2, s2011-r1i1p1f2, s2011-r2i1p1f2, s2011-r3i1p1f2, s2011-r4i1p1f2, s2011-r5i1p1f2, s2011-r6i1p1f2, s2011-r7i1p1f2, s2011-r8i1p1f2, s2011-r9i1p1f2, s2012-r10i1p1f2, s2012-r1i1p1f2, s2012-r2i1p1f2, s2012-r3i1p1f2, s2012-r4i1p1f2, s2012-r5i1p1f2, s2012-r6i1p1f2, s2012-r7i1p1f2, s2012-r8i1p1f2, s2012-r9i1p1f2, s2013-r10i1p1f2, s2013-r1i1p1f2, s2013-r2i1p1f2, s2013-r3i1p1f2, s2013-r4i1p1f2, s2013-r5i1p1f2, s2013-r6i1p1f2, s2013-r7i1p1f2, s2013-r8i1p1f2, s2013-r9i1p1f2, s2014-r10i1p1f2, s2014-r1i1p1f2, s2014-r2i1p1f2, s2014-r3i1p1f2, s2014-r4i1p1f2, s2014-r5i1p1f2, s2014-r6i1p1f2, s2014-r7i1p1f2, s2014-r8i1p1f2, s2014-r9i1p1f2, s2015-r10i1p1f2, s2015-r1i1p1f2, s2015-r2i1p1f2, s2015-r3i1p1f2, s2015-r4i1p1f2, s2015-r5i1p1f2, s2015-r6i1p1f2, s2015-r7i1p1f2, s2015-r8i1p1f2, s2015-r9i1p1f2, s2016-r10i1p1f2, s2016-r1i1p1f2, s2016-r2i1p1f2, s2016-r3i1p1f2, s2016-r4i1p1f2, s2016-r5i1p1f2, s2016-r6i1p1f2, s2016-r7i1p1f2, s2016-r8i1p1f2, s2016-r9i1p1f2, s2017-r10i1p1f2, s2017-r1i1p1f2, s2017-r2i1p1f2, s2017-r3i1p1f2, s2017-r4i1p1f2, s2017-r5i1p1f2, s2017-r6i1p1f2, s2017-r7i1p1f2, s2017-r8i1p1f2, s2017-r9i1p1f2, s2018-r10i1p1f2, s2018-r1i1p1f2, s2018-r2i1p1f2, s2018-r3i1p1f2, s2018-r4i1p1f2, s2018-r5i1p1f2, s2018-r6i1p1f2, s2018-r7i1p1f2, s2018-r8i1p1f2 and s2018-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30794, "uuid": "43f20689d8034028b5a37cf41f4b1f73", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38576, "uuid": "85c1fb2e69864e56b0e4b98fec0f3d9a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-ipv-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized positive IPV anomaly pattern\" (dcppC-ipv-pos) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38745, "uuid": "4a5a169f72e145aab8e80017a22f5050", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-futAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and future Antarctic SIC\" (pdSST-futAntSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34001, "uuid": "b4ac83ec501341beb660f6dd35b490a7", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-hindcast-noElChichon\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hindcast but with only background volcanic forcing to be the same as that used in the 2015 forecast\" (dcppC-hindcast-noElChichon) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s1981-r10i1p1f2, s1981-r1i1p1f2, s1981-r2i1p1f2, s1981-r3i1p1f2, s1981-r4i1p1f2, s1981-r5i1p1f2, s1981-r6i1p1f2, s1981-r7i1p1f2, s1981-r8i1p1f2 and s1981-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38555, "uuid": "23a0a7b412c748f2b39c4cb40b515335", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-ExTrop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized climate impact of positive extratropical AMV anomaly pattern\" (dcppC-amv-ExTrop-pos) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29306, "uuid": "db580e94db39415081316cb2d0b98230", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38567, "uuid": "adb90069fc3f4787a545ed528adec375", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-Trop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized positive tropical AMV anomaly pattern\" (dcppC-amv-Trop-pos) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33992, "uuid": "90220fc7b9114965a696080a0cb5d93f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-forecast-addElChichon\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"2015 forecast with added El Chichon forcing\" (dcppC-forecast-addElChichon) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s2014-r10i1p1f2, s2014-r1i1p1f2, s2014-r2i1p1f2, s2014-r3i1p1f2, s2014-r4i1p1f2, s2014-r5i1p1f2, s2014-r6i1p1f2, s2014-r7i1p1f2, s2014-r8i1p1f2 and s2014-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30797, "uuid": "4f0536e48228443b877442a9e5e8ef4e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERday, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f3 and r2i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31064, "uuid": "eec67b4cd2274d7abceaa767ff1d1cb1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38748, "uuid": "940aabbc82c141a1bdae85cdc2a211af", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-futArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and future Arctic SIC\" (pdSST-futArcSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33995, "uuid": "bef339ba67f349d0a299829945f7dc29", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-forecast-addPinatubo\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"2015 forecast with added Pinatubo forcing\" (dcppC-forecast-addPinatubo) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s2014-r10i1p1f2, s2014-r1i1p1f2, s2014-r2i1p1f2, s2014-r3i1p1f2, s2014-r4i1p1f2, s2014-r5i1p1f2, s2014-r6i1p1f2, s2014-r7i1p1f2, s2014-r8i1p1f2 and s2014-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28765, "uuid": "6b9ad51a97044600bc5d5e5649e6cf0d", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38728, "uuid": "7c0ae55c765a45458ac2a40a726005de", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pa-futArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Partially-coupled time slice constrained by future Arctic SIC\" (pa-futArcSIC) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34010, "uuid": "3e7b29e334dc47f187bd304880b42a9f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-ipv-NexTrop-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized positive northern extratropical IPV anomaly pattern\" (dcppC-ipv-NexTrop-pos) experiment. These are available at the following frequencies: Omon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38549, "uuid": "13c9e8fe648d4c3b865da78966038b98", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppB-forecast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"forecast initialized from observations with forcing from ssp245\" (dcppB-forecast) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s2019-r10i1p1f2, s2019-r1i1p1f2, s2019-r2i1p1f2, s2019-r3i1p1f2, s2019-r4i1p1f2, s2019-r5i1p1f2, s2019-r6i1p1f2, s2019-r7i1p1f2, s2019-r8i1p1f2, s2019-r9i1p1f2, s2020-r10i1p1f2, s2020-r1i1p1f2, s2020-r2i1p1f2, s2020-r3i1p1f2, s2020-r4i1p1f2, s2020-r5i1p1f2, s2020-r6i1p1f2, s2020-r7i1p1f2, s2020-r8i1p1f2, s2020-r9i1p1f2, s2021-r10i1p1f2, s2021-r1i1p1f2, s2021-r2i1p1f2, s2021-r3i1p1f2, s2021-r4i1p1f2, s2021-r5i1p1f2, s2021-r6i1p1f2, s2021-r7i1p1f2, s2021-r8i1p1f2 and s2021-r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38736, "uuid": "7ce73f3ae96f4d4ebb21789817d91da2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pa-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Partially-coupled time slice contrained by present day SIC\" (pa-pdSIC) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38754, "uuid": "8c62e2709bc7498eaf881bb27cc7a640", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-futOkhotskSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and future Sea of Okhotsk SIC\" (pdSST-futOkhotskSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38715, "uuid": "12b2cadb2b854d82b460bdb48725eb3c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"futSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with future SST and present day SIC\" (futSST-pdSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38766, "uuid": "b55030721d454d06ace2a3cbd9a75488", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"piSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with pre-industrial SST and present day SIC\" (piSST-pdSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38757, "uuid": "41ef691c84e64f58bc3b5e8947b68162", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and SIC\" (pdSST-pdSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38742, "uuid": "aa6cc383299b4fa5b05253fec01b6f21", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pa-piArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Partially-coupled time slice constrained by pre-industrial Arctic SIC\" (pa-piArcSIC) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31067, "uuid": "0492b42ce11e4e8d8e3ee4285e9447a6", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38721, "uuid": "a66bdfc29de143d18d70d6cfd649d659", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"modelSST-pdSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice present day control with coupled model SST\" (modelSST-pdSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38760, "uuid": "a828494ee7ad4f6eb21384cdad0c8ff2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-piAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and pre-industrial Antarctic SIC\" (pdSST-piAntSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34539, "uuid": "fcec6805c9484da188cfec7c648aeb87", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38751, "uuid": "ad625a67e0244baba086178616254e12", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-futBKSeasSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and future Barents and Kara Seas SIC\" (pdSST-futBKSeasSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29309, "uuid": "bf8ecb413b324b24974c2bc260d092e1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38739, "uuid": "28b8e02ab30446bb8f3b33c4b8a0f09f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pa-piAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Partially-coupled time slice with pre-industrial Antarctic SIC\" (pa-piAntSIC) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34188, "uuid": "7908aa6d422a419cb669f67640b7d309", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29303, "uuid": "c50a97ed527f4eabac5e5ce034d618b2", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38564, "uuid": "764979173db844a18675f4fc03f7b0b5", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-Trop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized climate impact of negative tropical AMV anomaly pattern\" (dcppC-amv-Trop-neg) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38763, "uuid": "1d00f877c4c24e7bb7e4d031c9496e09", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pdSST-piArcSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Atmosphere time slice with present day SST and pre-industrial Arctic SIC\" (pdSST-piArcSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r151i2p1f2, r152i2p1f2, r153i2p1f2, r154i2p1f2, r155i2p1f2, r156i2p1f2, r157i2p1f2, r158i2p1f2, r159i2p1f2, r15i1p1f2, r160i2p1f2, r161i2p1f2, r162i2p1f2, r163i2p1f2, r164i2p1f2, r165i2p1f2, r166i2p1f2, r167i2p1f2, r168i2p1f2, r169i2p1f2, r16i1p1f2, r170i2p1f2, r171i2p1f2, r172i2p1f2, r173i2p1f2, r174i2p1f2, r175i2p1f2, r176i2p1f2, r177i2p1f2, r178i2p1f2, r179i2p1f2, r17i1p1f2, r180i2p1f2, r181i2p1f2, r182i2p1f2, r183i2p1f2, r184i2p1f2, r185i2p1f2, r186i2p1f2, r187i2p1f2, r188i2p1f2, r189i2p1f2, r18i1p1f2, r190i2p1f2, r191i2p1f2, r192i2p1f2, r193i2p1f2, r194i2p1f2, r195i2p1f2, r196i2p1f2, r197i2p1f2, r198i2p1f2, r199i2p1f2, r19i1p1f2, r1i1p1f2, r200i2p1f2, r201i2p1f2, r202i2p1f2, r203i2p1f2, r204i2p1f2, r205i2p1f2, r206i2p1f2, r207i2p1f2, r208i2p1f2, r209i2p1f2, r20i1p1f2, r210i2p1f2, r211i2p1f2, r212i2p1f2, r213i2p1f2, r214i2p1f2, r215i2p1f2, r216i2p1f2, r217i2p1f2, r218i2p1f2, r219i2p1f2, r21i1p1f2, r220i2p1f2, r221i2p1f2, r222i2p1f2, r223i2p1f2, r224i2p1f2, r225i2p1f2, r226i2p1f2, r227i2p1f2, r228i2p1f2, r229i2p1f2, r22i1p1f2, r230i2p1f2, r231i2p1f2, r232i2p1f2, r233i2p1f2, r234i2p1f2, r235i2p1f2, r236i2p1f2, r237i2p1f2, r238i2p1f2, r239i2p1f2, r23i1p1f2, r240i2p1f2, r241i2p1f2, r242i2p1f2, r243i2p1f2, r244i2p1f2, r245i2p1f2, r246i2p1f2, r247i2p1f2, r248i2p1f2, r249i2p1f2, r24i1p1f2, r250i2p1f2, r251i2p1f2, r252i2p1f2, r253i2p1f2, r254i2p1f2, r255i2p1f2, r256i2p1f2, r257i2p1f2, r258i2p1f2, r259i2p1f2, r25i1p1f2, r260i2p1f2, r261i2p1f2, r262i2p1f2, r263i2p1f2, r264i2p1f2, r265i2p1f2, r266i2p1f2, r267i2p1f2, r268i2p1f2, r269i2p1f2, r26i1p1f2, r270i2p1f2, r271i2p1f2, r272i2p1f2, r273i2p1f2, r274i2p1f2, r275i2p1f2, r276i2p1f2, r277i2p1f2, r278i2p1f2, r279i2p1f2, r27i1p1f2, r280i2p1f2, r281i2p1f2, r282i2p1f2, r283i2p1f2, r284i2p1f2, r285i2p1f2, r286i2p1f2, r287i2p1f2, r288i2p1f2, r289i2p1f2, r28i1p1f2, r290i2p1f2, r291i2p1f2, r292i2p1f2, r293i2p1f2, r294i2p1f2, r295i2p1f2, r296i2p1f2, r297i2p1f2, r298i2p1f2, r299i2p1f2, r29i1p1f2, r2i1p1f2, r300i2p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38558, "uuid": "616d516a45394bf3963c912f5a170d4f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized climate impact of negative AMV anomaly pattern\" (dcppC-amv-neg) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34007, "uuid": "230dec6eac504126845e8d18b7fa7679", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-ipv-NexTrop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized negative northern extratropical IPV anomaly pattern\" (dcppC-ipv-NexTrop-neg) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38724, "uuid": "623552344f564a16985953774f5ef45c", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"pa-futAntSIC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Partially-coupled time slice constrained by future Antarctic SIC\" (pa-futAntSIC) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38552, "uuid": "d05c91c1c3b34beb93e158441fa82095", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-ExTrop-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized climate impact of negative extratropical AMV anomaly pattern\" (dcppC-amv-ExTrop-neg) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38561, "uuid": "631a6309abd14992b941a81562f76250", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-amv-pos\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"Idealized climate impact of positive AMV anomaly pattern\" (dcppC-amv-pos) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28761, "uuid": "2a024bd0f7644f2c8784d9326e60be28", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, LImon, Lmon, SImon and day. The runs included the ensemble members: r1i1p1f3 and r2i1p1f3.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38573, "uuid": "e1dc24c001324028a2aeb97dec2b637a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppC-ipv-neg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"idealized negative IPV anomaly pattern\" (dcppC-ipv-neg) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 122481, 122482, 122483, 122484, 122485, 122487, 122488, 122489, 122490, 122486, 165453, 165454 ], "onlineresource_set": [ 29465, 29466, 49150 ], "project_set": [ 28398 ] }, { "ob_id": 28799, "uuid": "e9ccd46c774c49bf8917fc645f64a98b", "short_code": "coll", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NASA-GISS, GISS-E2-1-G-CC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33889, "uuid": "4272f51224044f81b5af57c3565e4976", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44395, "uuid": "27b78f4b409d47acbf0c49f78e90f886", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28797, "uuid": "e2d75a055b5c4799b2c54da6cd2c821b", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30825, "uuid": "7c8e13292f224d6faf97a16a79148600", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44400, "uuid": "85ac49b92fee4d0aadb00b10199caec9", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 122677, 122678, 122679, 122680, 122681, 122683, 122684, 122685, 122686, 122682, 165501, 165502 ], "onlineresource_set": [ 29613, 29614, 49095 ], "project_set": [ 28606 ] }, { "ob_id": 28952, "uuid": "69323c36acb840b284f670df8da693e2", "short_code": "coll", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorESM2-LM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorESM2-LM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34416, "uuid": "69813a837f4d4fd0a9050717f32086fc", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-histall\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"transient effective radiative forcing\" (piClim-histall) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r1i1p2f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31229, "uuid": "206aad9c9d7c40ddbef1e3c08f8ea1fd", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33480, "uuid": "d6d5b6781cc940299160f31e8d5aaa01", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28957, "uuid": "dd232ea9d62846149656e6914760183b", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: AERmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31463, "uuid": "7467f0a2fbdd4a8dba1eab714646ca51", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34548, "uuid": "7bc2d25ab8254fb29d2e5c992e01bcf9", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31454, "uuid": "e34efe94f41c45c99acc765dab75da24", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31235, "uuid": "a6b7db49c9994db88a5c79396b500f2a", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28949, "uuid": "1a90e78562af4462a3f84c0ae21b7928", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Oday, Ofx, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31140, "uuid": "b3e8aa50cf9e48b3bc856067c4b70708", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28948, "uuid": "47a236becba9478182f153dfa6c7d6f1", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Oday, Ofx, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28954, "uuid": "f471e04131f643919f3e55a645cfc6d2", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, Oday, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29130, "uuid": "8dcd51a1083b4fa5bd4c03d1ee85bbd6", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, Oday, Ofx, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31532, "uuid": "906d2792077e4eeea3fea32303d75803", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28950, "uuid": "a2a0282e470646a3a5e8f909e4b779ef", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34419, "uuid": "8417bd2049d64343bcb22843ec8159cd", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-histghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"transient effective radiative forcing by greenhouse gases\" (piClim-histghg) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r1i1p2f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31241, "uuid": "6f82bcca29f4417aaca46202aac3e2b1", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31460, "uuid": "68d359bf78614313984ea12594a5e9e9", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31457, "uuid": "bcaa2beebcfa4288a5be8afe18d4ba73", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34287, "uuid": "023383eb18b241bebf1375eb239d1b94", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"omip1-spunup\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized from at least a 2000-year spin up of the coupled physical-biogeochemical model\" (omip1-spunup) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30932, "uuid": "f1a95ee6cd4241f5b6c75b11edb45b89", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30929, "uuid": "e532132e63be4029942584eee0d8d32f", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, Oday, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34422, "uuid": "c42fffd846654a54901bee8869c27131", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-histnat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"transient effective radiative forcing by natural perturbations\" (piClim-histnat) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r1i1p2f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31232, "uuid": "57544b0de9274973a62a9c751467a27a", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31238, "uuid": "7a866ff489184e66ae0e6ddcd8a9d854", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34413, "uuid": "60fd4e26ab9243d3908dc28723b5d87e", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-histaer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"transient effective radiative forcing by aerosols\" (piClim-histaer) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r1i1p2f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28960, "uuid": "a4f45ce6a70d4bf4a3e91c1e10515143", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 40049, "uuid": "9be6a7a9b2c4461e8977e2a18bf9c0c6", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31137, "uuid": "2fabdd09847d4da1bc9552dd695563b3", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34254, "uuid": "b0eeb2ec47a64aabaf5608e01e2b3e2d", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31226, "uuid": "ea32b45c8d954517baaf617ff1a6eff0", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 123421, 123422, 123423, 123424, 123425, 123427, 123428, 123429, 123430, 123426, 165685, 165686 ], "onlineresource_set": [ 30173, 30174, 49172 ], "project_set": [ 28945 ] }, { "ob_id": 28965, "uuid": "8fce078051e14a169efa716cd37f6104", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-AM4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-AM4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-AM4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28963, "uuid": "8f10110050a84b78a974625e3fdd3106", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-AM4 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-AM4 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERmon, Amon, CFmon and Emon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 123495, 123496, 123497, 123498, 123499, 123501, 123502, 123503, 123504, 123500, 165703, 165704 ], "onlineresource_set": [ 30211, 30212, 49084 ], "project_set": [ 28633 ] }, { "ob_id": 28984, "uuid": "931c7350a9884549aa7027b8bf4f6185", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-ESM4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31262, "uuid": "1e7f014571b0482686edbc8b411bf3ad", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29836, "uuid": "14a3ed15b3dd46be92fe740deebea149", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, CFmon, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29839, "uuid": "f967471934e649a5b470870ed4a78a3b", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, Amon, CFday, Eday, LImon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28989, "uuid": "40754f5764754b1ab73179527f9d9fbf", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28995, "uuid": "cec29bd3eb894f0f8b2402718de63abb", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon and Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30893, "uuid": "3bf0192bd3064f54bf7dbf8c406a2dbe", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30938, "uuid": "d8312f32ff2e402b8a7f40154545c8d0", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31271, "uuid": "4c768c74127d43c6bd6594b4293c43c2", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44436, "uuid": "d5e1138c01d245028b58207f37126f73", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31268, "uuid": "d5c2d1fb883a4f05bee1ecea10dc7615", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31265, "uuid": "8f5e6a5cfb8748998c46cd4a447e0760", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30371, "uuid": "3701d9e663774733a2ae13cfd864eb3a", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30941, "uuid": "a1de38983b03452ca9e4f6ae5e9d1954", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29842, "uuid": "8731778ae14245518e20353524016cb5", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30347, "uuid": "4b2d8ed5cc14454f86cb36d46fc324cb", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28986, "uuid": "082501088e444bb383f149ec9bbc8325", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44451, "uuid": "270f0c68c9764c2489ef84f3cb482a38", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30344, "uuid": "5371fd1b5233481a95efcb6a24e814a5", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and CFmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28992, "uuid": "eecc1b51111a46ed8c61daa471f0f8ca", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44433, "uuid": "e12426120bef4a1eb2563591cb47f66e", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29830, "uuid": "7b76d3cab8384a50b294386caf39b284", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30935, "uuid": "28bd4cbc878a4c1db3404a7dc20d7dfb", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29833, "uuid": "2edf02b9d79d49ff87efaf08fe5e8b23", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, Amon, CFday, Eday, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44407, "uuid": "5fad4b7b5e314d19b4f1625a18c5c87b", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44445, "uuid": "5a67af9ee2c74da2a5bc4fce3bf1bbca", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Emon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44439, "uuid": "6871cd2fe4e84fbbb4de728824a53a07", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44411, "uuid": "6c2b706009cc4736b2235f1e38fb1c53", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1pctCO2-cdr\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44403, "uuid": "7df43d9d4f524afba3197ea080cfeea3", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-1pct-brch-1000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Emon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44417, "uuid": "36b5ce601a1c46f2ad2465962154c743", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-pi-CO2pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon and Oyr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44448, "uuid": "b3e63758707c465bb31f2990b4aff9ed", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44414, "uuid": "c0120efaddff4fb1a634eea2d73dcd1d", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-pi-cdr-pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, Oyr and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44442, "uuid": "c2024978a010477d8de8cc5d8bfbbc29", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-hist-altStartYear\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only alternate start year\" (land-hist-altStartYear) experiment. These are available at the following frequencies: LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28998, "uuid": "cd52bd84c33044a28325fbfd367720b5", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, Amon, Eday, Lmon, Omon, Oyr, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30368, "uuid": "10e6e45a65a34adaa5b1affba1bb40ba", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28982, "uuid": "eb11ca1582a5492187455d85a93d8cd4", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 123601, 123602, 123603, 123604, 123605, 123607, 123608, 123609, 123610, 165729, 123606, 165730 ], "onlineresource_set": [ 30267, 30268, 49111 ], "project_set": [ 28633 ] }, { "ob_id": 29258, "uuid": "75cf176e53b648a3bae58168f4c20218", "short_code": "coll", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CMCC, CMCC-CM2-HR4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34152, "uuid": "895b69df6af44558ac4ef7af8022c242", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31005, "uuid": "723e9acc64f84677adf84e770760b02e", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33723, "uuid": "4160ef0938e24656b3470a9f09a58189", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmonZ, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33720, "uuid": "e20fbae3087c4cb186281feec83cfbaa", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 6hrPlev, Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31115, "uuid": "8d6b12831ce243ad8ee11c16139ddd6b", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33717, "uuid": "8703f6de9ce2430a8ccbbd7f0ee129db", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34149, "uuid": "f7b2e397d54c4a0c925947df788ad481", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33714, "uuid": "f8ee6d0039c646c59e1b1f88695f058c", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 6hrPlev, Amon, CFday, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31002, "uuid": "34ce4fd20e164a54825e54f99dfaae78", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29256, "uuid": "14d9ceee87774781b781e7401a16bed5", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlev, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125169, 125170, 125171, 125172, 125173, 125175, 125176, 125177, 125178, 125174, 166093, 166094 ], "onlineresource_set": [ 32250, 32251, 49134 ], "project_set": [ 29255 ] }, { "ob_id": 29262, "uuid": "388d8c06a1c8401480b38d400b333f96", "short_code": "coll", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CMCC, CMCC-CM2-VHR4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34155, "uuid": "47db5b81b75f4328b6df0e6867e1fb9c", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29260, "uuid": "7192c92d46384149a980e96ad50cbc49", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31011, "uuid": "8521008037fa444ea41aa482aa1e14f4", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34158, "uuid": "9a3968349e2a464cb3f02c8b4e0c0be5", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31008, "uuid": "46b523c69d604a719d42862dff167f7a", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125195, 125196, 125197, 125198, 125199, 125201, 125202, 125203, 125204, 166099, 125200, 166100 ], "onlineresource_set": [ 32261, 32262, 49100 ], "project_set": [ 29255 ] }, { "ob_id": 29266, "uuid": "1b6d2c8917a64b3f84bdc8e6fe818c9a", "short_code": "coll", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-ATM-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29264, "uuid": "d66b3b9486484b50852c4ed6881c0f4f", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, Amon, CFmon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125221, 125222, 125223, 125224, 125225, 125227, 125228, 125229, 125230, 166105, 125226, 166106 ], "onlineresource_set": [ 32272, 32273, 49085 ], "project_set": [ 28518 ] }, { "ob_id": 29273, "uuid": "6fa760d4630e49e0b27a491a943694b1", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team NICAM16-7S model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-7S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-7S", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29271, "uuid": "23ed3590094040f192a3f4274fb90e7e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team NICAM16-7S model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team NICAM16-7S model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, Amon, Eday, Lmon, Oday, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125266, 125267, 125268, 125270, 125271, 125274, 125275, 125277, 125278, 125272, 125276, 166115, 125269, 166116, 125273 ], "onlineresource_set": [ 32292, 32293, 49086 ], "project_set": [ 28348 ] }, { "ob_id": 29277, "uuid": "88fa0b25323b480b8d4370176b2333e7", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team NICAM16-8S model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-8S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-8S", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29275, "uuid": "8c0f9abd489b40598358c6830f65408b", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team NICAM16-8S model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team NICAM16-8S model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, Eday, Oday and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125301, 125302, 125303, 125305, 125306, 125309, 125310, 125312, 125313, 125304, 125307, 125311, 166121, 166122, 125308 ], "onlineresource_set": [ 32303, 32304, 49087 ], "project_set": [ 28348 ] }, { "ob_id": 29281, "uuid": "638eeb244c1d4b5cb49e1c311854f0de", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team NICAM16-9S model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-9S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-9S", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29279, "uuid": "7b666f6059094deca2156e1508334ffb", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team NICAM16-9S model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team NICAM16-9S model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Eday, Oday and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125336, 125337, 125338, 125340, 125341, 125344, 125345, 125347, 125348, 166127, 125339, 125342, 125346, 125343, 166128 ], "onlineresource_set": [ 32314, 32315, 49088 ], "project_set": [ 28348 ] }, { "ob_id": 29285, "uuid": "9aae4919af514b28b8e057b8b765a55c", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-HM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34182, "uuid": "f15f806b32ed41428cdffaafc9a17f93", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29283, "uuid": "d2e1fb20315a406784c015a63b830280", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29290, "uuid": "c6e53a741a5a4ce9902c9101b6984464", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38645, "uuid": "292a3585f88741c9a3b398f1541aad9f", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1 and r1i3p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29287, "uuid": "b057a60be5a44cea9e8a85a531cc91eb", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125368, 125369, 125370, 125371, 125372, 125374, 125375, 125376, 125377, 125373, 166133, 166134 ], "onlineresource_set": [ 32325, 32326, 49090 ], "project_set": [ 28398 ] }, { "ob_id": 29301, "uuid": "214110e112b14fb684cc78dcc796ea45", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34185, "uuid": "b234b7aee3174b768709de5ffa1632a1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble members: r1i14p1f1, r1i15p1f1, r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29299, "uuid": "b876f85cb20a4588a9700a7e30494614", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, SIday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125458, 125459, 125460, 125461, 125462, 125464, 125465, 125466, 125467, 125463, 166155, 166156 ], "onlineresource_set": [ 32373, 32372, 49169 ], "project_set": [ 28398 ] }, { "ob_id": 29315, "uuid": "b7982906b1a34c4ea8beab7af74081f0", "short_code": "coll", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, MPI-ESM1-2-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34089, "uuid": "730eee85794d43ed81f8e322843e5c96", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34194, "uuid": "3ff02ad9867d4fc58fe292f1ca503acf", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29313, "uuid": "495d3f23608f4eb69d310648585e3194", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30968, "uuid": "217e5423b39746ecb3fd23c7470318c8", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31070, "uuid": "4714a2622e504fae941bd4072aa4c2ac", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30800, "uuid": "f5d4bcd61b6e4cdc9303a35b1e979e14", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30812, "uuid": "90a93cc288074fe88f5c025d836c4834", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34191, "uuid": "80f37100fbc74148a0ef21e2213a7295", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30959, "uuid": "810026cceb2b4a15906d5f1bd29b88ab", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30965, "uuid": "a3e9d74b893c4c449b1feb4a5eb0ecf8", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30962, "uuid": "7eb726390c4b4a66b179b4d13e1b640b", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30809, "uuid": "e5c9b86e79a84c2f91e43bbbf1f00975", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38582, "uuid": "42450f0386b4462a9331f90cadc5ea54", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: 6hrPlev, AERday, Amon and day. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r1i1p1f1, s1960-r2i1p1f1, s1960-r3i1p1f1, s1960-r4i1p1f1, s1960-r5i1p1f1, s1960-r6i1p1f1, s1960-r7i1p1f1, s1960-r8i1p1f1, s1960-r9i1p1f1, s1961-r10i1p1f1, s1961-r1i1p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r7i1p1f1, s1961-r8i1p1f1, s1961-r9i1p1f1, s1962-r10i1p1f1, s1962-r1i1p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r7i1p1f1, s1962-r8i1p1f1, s1962-r9i1p1f1, s1963-r10i1p1f1, s1963-r1i1p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r7i1p1f1, s1963-r8i1p1f1, s1963-r9i1p1f1, s1964-r10i1p1f1, s1964-r1i1p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r7i1p1f1, s1964-r8i1p1f1, s1964-r9i1p1f1, s1965-r10i1p1f1, s1965-r1i1p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r7i1p1f1, s1965-r8i1p1f1, s1965-r9i1p1f1, s1966-r10i1p1f1, s1966-r1i1p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r7i1p1f1, s1966-r8i1p1f1, s1966-r9i1p1f1, s1967-r10i1p1f1, s1967-r1i1p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r7i1p1f1, s1967-r8i1p1f1, s1967-r9i1p1f1, s1968-r10i1p1f1, s1968-r1i1p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r7i1p1f1, s1968-r8i1p1f1, s1968-r9i1p1f1, s1969-r10i1p1f1, s1969-r1i1p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r7i1p1f1, s1969-r8i1p1f1, s1969-r9i1p1f1, s1970-r10i1p1f1, s1970-r1i1p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r7i1p1f1, s1970-r8i1p1f1, s1970-r9i1p1f1, s1971-r10i1p1f1, s1971-r1i1p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r7i1p1f1, s1971-r8i1p1f1, s1971-r9i1p1f1, s1972-r10i1p1f1, s1972-r1i1p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r7i1p1f1, s1972-r8i1p1f1, s1972-r9i1p1f1, s1973-r10i1p1f1, s1973-r1i1p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r7i1p1f1, s1973-r8i1p1f1, s1973-r9i1p1f1, s1974-r10i1p1f1, s1974-r1i1p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r7i1p1f1, s1974-r8i1p1f1, s1974-r9i1p1f1, s1975-r10i1p1f1, s1975-r1i1p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r7i1p1f1, s1975-r8i1p1f1, s1975-r9i1p1f1, s1976-r10i1p1f1, s1976-r1i1p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r7i1p1f1, s1976-r8i1p1f1, s1976-r9i1p1f1, s1977-r10i1p1f1, s1977-r1i1p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r7i1p1f1, s1977-r8i1p1f1, s1977-r9i1p1f1, s1978-r10i1p1f1, s1978-r1i1p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r7i1p1f1, s1978-r8i1p1f1, s1978-r9i1p1f1, s1979-r10i1p1f1, s1979-r1i1p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r7i1p1f1, s1979-r8i1p1f1, s1979-r9i1p1f1, s1980-r10i1p1f1, s1980-r1i1p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r7i1p1f1, s1980-r8i1p1f1, s1980-r9i1p1f1, s1981-r10i1p1f1, s1981-r1i1p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r7i1p1f1, s1981-r8i1p1f1, s1981-r9i1p1f1, s1982-r10i1p1f1, s1982-r1i1p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r7i1p1f1, s1982-r8i1p1f1, s1982-r9i1p1f1, s1983-r10i1p1f1, s1983-r1i1p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r7i1p1f1, s1983-r8i1p1f1, s1983-r9i1p1f1, s1984-r10i1p1f1, s1984-r1i1p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r7i1p1f1, s1984-r8i1p1f1, s1984-r9i1p1f1, s1985-r10i1p1f1, s1985-r1i1p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r7i1p1f1, s1985-r8i1p1f1, s1985-r9i1p1f1, s1986-r10i1p1f1, s1986-r1i1p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r7i1p1f1, s1986-r8i1p1f1, s1986-r9i1p1f1, s1987-r10i1p1f1, s1987-r1i1p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r7i1p1f1, s1987-r8i1p1f1, s1987-r9i1p1f1, s1988-r10i1p1f1, s1988-r1i1p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r7i1p1f1, s1988-r8i1p1f1, s1988-r9i1p1f1, s1989-r10i1p1f1, s1989-r1i1p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r7i1p1f1, s1989-r8i1p1f1, s1989-r9i1p1f1, s1990-r10i1p1f1, s1990-r1i1p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r7i1p1f1, s1990-r8i1p1f1, s1990-r9i1p1f1, s1991-r10i1p1f1, s1991-r1i1p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r7i1p1f1, s1991-r8i1p1f1, s1991-r9i1p1f1, s1992-r10i1p1f1, s1992-r1i1p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r7i1p1f1, s1992-r8i1p1f1, s1992-r9i1p1f1, s1993-r10i1p1f1, s1993-r1i1p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r7i1p1f1, s1993-r8i1p1f1, s1993-r9i1p1f1, s1994-r10i1p1f1, s1994-r1i1p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r7i1p1f1, s1994-r8i1p1f1, s1994-r9i1p1f1, s1995-r10i1p1f1, s1995-r1i1p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r7i1p1f1, s1995-r8i1p1f1, s1995-r9i1p1f1, s1996-r10i1p1f1, s1996-r1i1p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r7i1p1f1, s1996-r8i1p1f1, s1996-r9i1p1f1, s1997-r10i1p1f1, s1997-r1i1p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r7i1p1f1, s1997-r8i1p1f1, s1997-r9i1p1f1, s1998-r10i1p1f1, s1998-r1i1p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r7i1p1f1, s1998-r8i1p1f1, s1998-r9i1p1f1, s1999-r10i1p1f1, s1999-r1i1p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r7i1p1f1, s1999-r8i1p1f1, s1999-r9i1p1f1, s2000-r10i1p1f1, s2000-r1i1p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r7i1p1f1, s2000-r8i1p1f1, s2000-r9i1p1f1, s2001-r10i1p1f1, s2001-r1i1p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r7i1p1f1, s2001-r8i1p1f1, s2001-r9i1p1f1, s2002-r10i1p1f1, s2002-r1i1p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r7i1p1f1, s2002-r8i1p1f1, s2002-r9i1p1f1, s2003-r10i1p1f1, s2003-r1i1p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r7i1p1f1, s2003-r8i1p1f1, s2003-r9i1p1f1, s2004-r10i1p1f1, s2004-r1i1p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r7i1p1f1, s2004-r8i1p1f1, s2004-r9i1p1f1, s2005-r10i1p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r7i1p1f1, s2005-r8i1p1f1, s2005-r9i1p1f1, s2006-r10i1p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r7i1p1f1, s2006-r8i1p1f1, s2006-r9i1p1f1, s2007-r10i1p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r7i1p1f1, s2007-r8i1p1f1, s2007-r9i1p1f1, s2008-r10i1p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r7i1p1f1, s2008-r8i1p1f1, s2008-r9i1p1f1, s2009-r10i1p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r7i1p1f1, s2009-r8i1p1f1, s2009-r9i1p1f1, s2010-r10i1p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r7i1p1f1, s2010-r8i1p1f1, s2010-r9i1p1f1, s2011-r10i1p1f1, s2011-r1i1p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r7i1p1f1, s2011-r8i1p1f1, s2011-r9i1p1f1, s2012-r10i1p1f1, s2012-r1i1p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r7i1p1f1, s2012-r8i1p1f1, s2012-r9i1p1f1, s2013-r10i1p1f1, s2013-r1i1p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r7i1p1f1, s2013-r8i1p1f1, s2013-r9i1p1f1, s2014-r10i1p1f1, s2014-r1i1p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r7i1p1f1, s2014-r8i1p1f1, s2014-r9i1p1f1, s2015-r10i1p1f1, s2015-r1i1p1f1, s2015-r2i1p1f1, s2015-r3i1p1f1, s2015-r4i1p1f1, s2015-r5i1p1f1, s2015-r6i1p1f1, s2015-r7i1p1f1, s2015-r8i1p1f1, s2015-r9i1p1f1, s2016-r10i1p1f1, s2016-r1i1p1f1, s2016-r2i1p1f1, s2016-r3i1p1f1, s2016-r4i1p1f1, s2016-r5i1p1f1, s2016-r6i1p1f1, s2016-r7i1p1f1, s2016-r8i1p1f1, s2016-r9i1p1f1, s2017-r10i1p1f1, s2017-r1i1p1f1, s2017-r2i1p1f1, s2017-r3i1p1f1, s2017-r4i1p1f1, s2017-r5i1p1f1, s2017-r6i1p1f1, s2017-r7i1p1f1, s2017-r8i1p1f1, s2017-r9i1p1f1, s2018-r10i1p1f1, s2018-r1i1p1f1, s2018-r2i1p1f1, s2018-r3i1p1f1, s2018-r4i1p1f1, s2018-r5i1p1f1, s2018-r6i1p1f1, s2018-r7i1p1f1, s2018-r8i1p1f1, s2018-r9i1p1f1, s2019-r10i1p1f1, s2019-r6i1p1f1, s2019-r7i1p1f1, s2019-r8i1p1f1 and s2019-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30803, "uuid": "d0ef4ecdaf9f4d2baf649cf35c4cf2e3", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, CFday, E3hr, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30806, "uuid": "348138bb004242238bfc6979e8b8e55f", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30956, "uuid": "a0d298f2933b42f3a101e06b9b6bb32e", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, CF3hr, Eday, Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31073, "uuid": "ea0ce27361c944a188ed6f5545d0fdc6", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34092, "uuid": "6696ab15b41e41baa7aa091fdb08cef7", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, Oday, Omon, SIday and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125538, 125539, 125540, 125541, 125542, 125544, 125545, 125546, 125547, 125543, 166175, 166176 ], "onlineresource_set": [ 32412, 32413, 49161 ], "project_set": [ 29312 ] }, { "ob_id": 29319, "uuid": "5776217e2c2e4bd3b200165ce732bfbc", "short_code": "coll", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, MPI-ESM1-2-XR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29317, "uuid": "6d09c0895f574e458205f699f2646daf", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31079, "uuid": "5c2429b2129748b7b3642787be9ee811", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34200, "uuid": "3dcf6f80b28447d09dd7db1bdb14acf8", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34197, "uuid": "9029bab00618419e82068d3af06cd491", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31076, "uuid": "cc41470c003244d29426f2c4096fd7f1", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Eday, LImon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125564, 125565, 125566, 125567, 125568, 125570, 125571, 125572, 125573, 166181, 125569, 166182 ], "onlineresource_set": [ 32423, 32424, 49131 ], "project_set": [ 29312 ] }, { "ob_id": 29323, "uuid": "c5c0b3bb82134f1a9285a0feecbfbba0", "short_code": "coll", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-AGCM3-2-H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29321, "uuid": "8bb68a49f97d4583aee020275376a595", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29325, "uuid": "0f7d2985b2a14d59bf72386d1c2794ad", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125590, 125591, 125592, 125593, 125594, 125596, 125597, 125598, 125599, 166187, 125595, 166188 ], "onlineresource_set": [ 32434, 32435, 49091 ], "project_set": [ 28583 ] }, { "ob_id": 29330, "uuid": "9bd7918d540849f4ad7ac5724e4d8e14", "short_code": "coll", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-AGCM3-2-S", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29332, "uuid": "2eac4c03ad22475eb8c298ee41e90839", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29328, "uuid": "64ec73a16fff44d3a6433203531b13c3", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125632, 125633, 125634, 125635, 125636, 125638, 125639, 125640, 125641, 166197, 125637, 166198 ], "onlineresource_set": [ 32454, 32455, 49094 ], "project_set": [ 28583 ] }, { "ob_id": 29337, "uuid": "a5c58f5e41144a55b7c48373c3b038be", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-CM4C192", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31097, "uuid": "67d7ce72badc463d8b81debb2922defe", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29335, "uuid": "91fdf6a467f04ba292fada53bf48a134", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31100, "uuid": "992323377cc14b7aa2ebfd3b36a75469", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31094, "uuid": "2e41315e3d8e4585bfaa2a5bbbbcf7bf", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 125674, 125675, 125676, 125677, 125678, 125680, 125681, 125682, 125683, 166207, 125679, 166208 ], "onlineresource_set": [ 32474, 32475, 49093 ], "project_set": [ 28633 ] }, { "ob_id": 29487, "uuid": "11ee7caa7e65475f96c628dd3e532f87", "short_code": "coll", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM1-F model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorESM1-F model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorESM1-F", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30869, "uuid": "8ec3b81aaf684ccda006f6ef6b32d015", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM1-F model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM1-F model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, Lmon, Ofx, Omon, Oyr, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 29485, "uuid": "0e67dc765afd476191074b3a5da41787", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM1-F model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM1-F model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 126508, 126509, 126510, 126511, 126512, 126514, 126515, 126516, 126517, 126513, 166407, 166408 ], "onlineresource_set": [ 34737, 34738, 49092 ], "project_set": [ 28945 ] }, { "ob_id": 29875, "uuid": "f23c8a29c38c41908e6676b8a6e4c61d", "short_code": "coll", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorCPM1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorCPM1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 28947, "uuid": "c6cb5efe201d48b48fe939e0039ada84", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Omon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38585, "uuid": "ee240d74b5464a428ea9453ec30ed775", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r10i2p1f1, s1960-r1i1p1f1, s1960-r1i2p1f1, s1960-r2i1p1f1, s1960-r2i2p1f1, s1960-r3i1p1f1, s1960-r3i2p1f1, s1960-r4i1p1f1, s1960-r4i2p1f1, s1960-r5i1p1f1, s1960-r5i2p1f1, s1960-r6i1p1f1, s1960-r6i2p1f1, s1960-r7i1p1f1, s1960-r7i2p1f1, s1960-r8i1p1f1, s1960-r8i2p1f1, s1960-r9i1p1f1, s1960-r9i2p1f1, s1961-r10i1p1f1, s1961-r10i2p1f1, s1961-r1i1p1f1, s1961-r1i2p1f1, s1961-r2i1p1f1, s1961-r2i2p1f1, s1961-r3i1p1f1, s1961-r3i2p1f1, s1961-r4i1p1f1, s1961-r4i2p1f1, s1961-r5i1p1f1, s1961-r5i2p1f1, s1961-r6i1p1f1, s1961-r6i2p1f1, s1961-r7i1p1f1, s1961-r7i2p1f1, s1961-r8i1p1f1, s1961-r8i2p1f1, s1961-r9i1p1f1, s1961-r9i2p1f1, s1962-r10i1p1f1, s1962-r10i2p1f1, s1962-r1i1p1f1, s1962-r1i2p1f1, s1962-r2i1p1f1, s1962-r2i2p1f1, s1962-r3i1p1f1, s1962-r3i2p1f1, s1962-r4i1p1f1, s1962-r4i2p1f1, s1962-r5i1p1f1, s1962-r5i2p1f1, s1962-r6i1p1f1, s1962-r6i2p1f1, s1962-r7i1p1f1, s1962-r7i2p1f1, s1962-r8i1p1f1, s1962-r8i2p1f1, s1962-r9i1p1f1, 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s2012-r5i2p1f1, s2012-r6i1p1f1, s2012-r6i2p1f1, s2012-r7i1p1f1, s2012-r7i2p1f1, s2012-r8i1p1f1, s2012-r8i2p1f1, s2012-r9i1p1f1, s2012-r9i2p1f1, s2013-r10i1p1f1, s2013-r10i2p1f1, s2013-r1i1p1f1, s2013-r1i2p1f1, s2013-r2i1p1f1, s2013-r2i2p1f1, s2013-r3i1p1f1, s2013-r3i2p1f1, s2013-r4i1p1f1, s2013-r4i2p1f1, s2013-r5i1p1f1, s2013-r5i2p1f1, s2013-r6i1p1f1, s2013-r6i2p1f1, s2013-r7i1p1f1, s2013-r7i2p1f1, s2013-r8i1p1f1, s2013-r8i2p1f1, s2013-r9i1p1f1, s2013-r9i2p1f1, s2014-r10i1p1f1, s2014-r10i2p1f1, s2014-r1i1p1f1, s2014-r1i2p1f1, s2014-r2i1p1f1, s2014-r2i2p1f1, s2014-r3i1p1f1, s2014-r3i2p1f1, s2014-r4i1p1f1, s2014-r4i2p1f1, s2014-r5i1p1f1, s2014-r5i2p1f1, s2014-r6i1p1f1, s2014-r6i2p1f1, s2014-r7i1p1f1, s2014-r7i2p1f1, s2014-r8i1p1f1, s2014-r8i2p1f1, s2014-r9i1p1f1, s2014-r9i2p1f1, s2015-r10i1p1f1, s2015-r10i2p1f1, s2015-r1i1p1f1, s2015-r1i2p1f1, s2015-r2i1p1f1, s2015-r2i2p1f1, s2015-r3i1p1f1, s2015-r3i2p1f1, s2015-r4i1p1f1, s2015-r4i2p1f1, s2015-r5i1p1f1, s2015-r5i2p1f1, s2015-r6i1p1f1, s2015-r6i2p1f1, s2015-r7i1p1f1, s2015-r7i2p1f1, s2015-r8i1p1f1, s2015-r8i2p1f1, s2015-r9i1p1f1, s2015-r9i2p1f1, s2016-r10i1p1f1, s2016-r10i2p1f1, s2016-r1i1p1f1, s2016-r1i2p1f1, s2016-r2i1p1f1, s2016-r2i2p1f1, s2016-r3i1p1f1, s2016-r3i2p1f1, s2016-r4i1p1f1, s2016-r4i2p1f1, s2016-r5i1p1f1, s2016-r5i2p1f1, s2016-r6i1p1f1, s2016-r6i2p1f1, s2016-r7i1p1f1, s2016-r7i2p1f1, s2016-r8i1p1f1, s2016-r8i2p1f1, s2016-r9i1p1f1, s2016-r9i2p1f1, s2017-r10i1p1f1, s2017-r10i2p1f1, s2017-r1i1p1f1, s2017-r1i2p1f1, s2017-r2i1p1f1, s2017-r2i2p1f1, s2017-r3i1p1f1, s2017-r3i2p1f1, s2017-r4i1p1f1, s2017-r4i2p1f1, s2017-r5i1p1f1, s2017-r5i2p1f1, s2017-r6i1p1f1, s2017-r6i2p1f1, s2017-r7i1p1f1, s2017-r7i2p1f1, s2017-r8i1p1f1, s2017-r8i2p1f1, s2017-r9i1p1f1, s2017-r9i2p1f1, s2018-r10i1p1f1, s2018-r10i2p1f1, s2018-r1i1p1f1, s2018-r1i2p1f1, s2018-r2i1p1f1, s2018-r2i2p1f1, s2018-r3i1p1f1, s2018-r3i2p1f1, s2018-r4i1p1f1, s2018-r4i2p1f1, s2018-r5i1p1f1, s2018-r5i2p1f1, s2018-r6i1p1f1, s2018-r6i2p1f1, s2018-r7i1p1f1, s2018-r7i2p1f1, s2018-r8i1p1f1, s2018-r8i2p1f1, s2018-r9i1p1f1 and s2018-r9i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30860, "uuid": "473b9c2ca78c412dbc1d2899fc69d768", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30863, "uuid": "3f4e52d82e5d4a078a86d93f09499422", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 28946, "uuid": "4fb19b531d8b45d8ba9a823613c3c66a", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30866, "uuid": "a4fa1f48d58f46f397e6057dde22b485", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorCPM1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 128880, 128881, 128882, 128883, 128884, 128886, 128887, 128888, 128889, 128885, 166923, 166924 ], "onlineresource_set": [ 36514, 36515, 49089 ], "project_set": [ 28945 ] }, { "ob_id": 29893, "uuid": "585b29ba4a054760ac4e53e7d95290b9", "short_code": "coll", "title": "SG-WEx: a collection of meteor radar observations, radiosondes and numerical modelling output over South Georgia", "abstract": "The NERC-funded South Georgia Wave EXperiment (SG-WEx) project (grant numbers NE/K015117/1, NE/K012614/1 and NE/K012584/1) was a major coordinated observational and modelling campaign to study the nature and deep vertical propagation of atmospheric gravity waves over the mountainous island of South Georgia in the Southern Atlantic.\r\n\r\nThis dataset collection contains meteor radar and radiosonde measurements from King Edward Point Magnetic Observatory on South Georgia and output from high-resolution (1.5km grid, 118 vertical levels) Met Office Unified Model simulations in a box 1200km x 900km centred on the island that coincide with the radiosonde campaigns.\r\n\r\nThe meteor radar observations included in this collection are continuous from February 2016 to November 2020, funding for which was continued as part of the follow-on NERC DRAGON-WEx project (NE/R001391/1,NE/R001235/1).\r\n\r\nThe project also made use of 3rd party satellite data from NASA, not included in this collection.", "keywords": "meteor radar, gravity wave, radiosonde", "publicationState": "citable", "dataPublishedTime": "2021-05-11T09:55:01", "doiPublishedTime": "2021-05-12T15:41:57", "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32528, "uuid": "ca00a04014ad4426abc03e952f793dde", "short_code": "ob", "title": "SG-WEx: Unified Model output for July 2015 over South Georgia, with island orography included (run: u-ab326)", "abstract": "This dataset contains modelling output from the u-ab326 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period July 2015 with the island orography included. See related dataset for output from a complementary run with a flat orography file for the island for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." }, { "ob_id": 32324, "uuid": "6cd2bd9bf3e143009a7df234e4a8f55c", "short_code": "ob", "title": "SG-WEx: Unified Model output for January 2015 over South Georgia, with island orography included (run: u-ag477)", "abstract": "This dataset contains modelling output from the u-ag477 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period January 2015 with the island orography included. See related dataset for output from a complementary run with a flat orography file for the island for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." }, { "ob_id": 28240, "uuid": "d1d6f63b4197452495b5d17a95977843", "short_code": "ob", "title": "SG-WEx: British Antarctic Survey Vaisala RS92 radiosonde data from King Edward Point (2015)", "abstract": "The British Antarctic Survey (BAS) operated a Vaisala RS92 radiosonde unit at King Edward Point, South Georgia Islands to support meteor radar data also recorded at the site during the South Georgia Wave Experiment (SG-WEx) project. The sonde ascents took place during two campaigns: January 2015 and June/July 2015 to measure gravity waves. The data are standard radiosonde measurements of temperature, humidity, wind speeds, direction and pressure along the ascent at 10s intervals. These balloon ascents typically continue until the balloon fails in the stratosphere. The highest ascent recorded in these data was around 32km. Some ascents also provide data for parts of the descending part of the flight until the instrumentation failed.\r\n\r\nThe King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) is located on the South Georgia island in the South Atlantic." }, { "ob_id": 32521, "uuid": "4edcd686e1e74e2f8e4cf108eb054cc8", "short_code": "ob", "title": "SG-WEx: Unified Model output for July 2015 over South Georgia, without island orography (run: u-ab978)", "abstract": "This dataset contains modelling output from the u-ab978 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period July 2015 with a flat orography file for the island. See related dataset for output from a complementary run with the island's orography included for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." }, { "ob_id": 32527, "uuid": "6af300ef78e649e38719f1e1a53007f1", "short_code": "ob", "title": "SG-WEx: Unified Model output for June-July 2015 over South Georgia, with island orography included (run: u-ae766)", "abstract": "This dataset contains modelling output from the u-ae766 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period June-July 2015 with the island orography included. See related dataset for output from a complementary run with a flat orography file for the island for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." }, { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "short_code": "ob", "title": "University of Bath: King Edward Point Skiymet meteor radar data (2016-2020)", "abstract": "The University of Bath's meteor radar located at the King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) on South Georgia island in the South Atlantic , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It has been operational since 2016 providing meteor detection and derived wind data in support of the NERC funded South Georgia Wave (SG-WEX) and DRAGON-WEX: The Drake Passage and Southern Ocean Wave Experiments (see linked Project records for further details).\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, { "ob_id": 32522, "uuid": "a945f294d03143d8b5197e65f8005915", "short_code": "ob", "title": "SG-WEx: Unified Model output for June-July 2015 over South Georgia, without island orography (run: u-af015)", "abstract": "This dataset contains modelling output from the u-af015 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period June-July 2015 with a flat orography file for the island. See related dataset for output from a complementary run with the island's orography included for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." }, { "ob_id": 32469, "uuid": "9314b7b6417049beb18570632b435e5b", "short_code": "ob", "title": "SG-WEx: Unified Model output for January 2015 over South Georgia, without island orography (run: u-ag706)", "abstract": "This dataset contains modelling output from the u-ag706 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period January 2015 with a flat orography file for the island. See related dataset for output from a complementary run with the island's orography included for the same time period. These were part of a group of 6 model runs for the SG-WEx project.\r\n\r\nThe aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.\r\n\r\nTechnical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details." } ], "identifier_set": [ 10879 ], "responsiblepartyinfo_set": [ 129045, 129048, 129044, 129040, 129041, 129043, 129042, 129039, 145010, 145009, 129047, 129046, 145011, 129050, 145012, 145013, 129049, 145014, 145015, 145016, 145017, 145018 ], "onlineresource_set": [ 87670, 94790, 94791, 94792, 94793, 94794, 94795 ], "project_set": [ 26590 ] }, { "ob_id": 29894, "uuid": "e78a792d2a4845ab9c675ad837f137ef", "short_code": "coll", "title": "DRAGON-WEx: meteor radar data from South Georgia and Rother, Antarctica.", "abstract": "some stuff", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [], "onlineresource_set": [], "project_set": [ 26591 ] }, { "ob_id": 29923, "uuid": "400efba73c1d40c78f44918429ce9c99", "short_code": "coll", "title": "PICASSO: data from radiosonde flights, Chilbolton weather radar and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft, radiosonde launches and the Chilbolton weather radar for the Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.\r\n\r\nThis dataset collection also links to a range of third party datasets that were also utilised by the project participants (Met Office rain radar, surface charts, Meteosat images, surface data from Chilbolton instruments and data from the X-band radar deployed at the site at the same time as the PICASSO observation days).", "keywords": "PICASSO, FAAM, airborne, atmospheric measurements", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26298, "uuid": "c39dfbe9ff574bf49b8e6d97a7715293", "short_code": "ob", "title": "FAAM C077 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 26310, "uuid": "733201b9c7a54bbba2f637328ab6e318", "short_code": "ob", "title": "FAAM C078 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 3482, "uuid": "614747245770927bbe7565b690945ec3", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Multiple Raingauges Data, Chilbolton Site", "abstract": "Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 2001 to the present at Chilbolton, Hampshire. The dataset contains measurements of rainfall accumulation as measured by multiple instruments." }, { "ob_id": 14680, "uuid": "6b2b8033dcd0463fbd09373e10999184", "short_code": "ob", "title": "MSG: Cloud top temperature product imagery over UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains cloud top temperature product images from MSG satellites over UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 27958, "uuid": "40d2875b3fbd4686864376604993cc71", "short_code": "ob", "title": "FAAM C172 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 14642, "uuid": "7be97a93aa9f4764bd361be75d2ae90e", "short_code": "ob", "title": "MSG: Infra-red imagery at 3.9 micron over the UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains infa-red images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 36862, "uuid": "0a9fc7266867406db0a24d46c709c2cc", "short_code": "ob", "title": "FAAM C266 PICASSO flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 26387, "uuid": "58f758f893f44f5abc3f346871ab3d83", "short_code": "ob", "title": "FAAM C097 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 5746, "uuid": "27dd6ffba67f667a18c62de5c3456350", "short_code": "ob", "title": "1 km Resolution UK Composite Rainfall Data from the Met Office Nimrod System", "abstract": "1 km resolution composite data from the Met Office's UK rainfall radars via the Met Office NIMROD system. The NIMROD system is a very short range forecasting system used by the Met Office. Data are available from 2004 until present at UK stations and detail rain-rate observations taken every 5 minutes. Each file has been compressed and then stored within daily tar archive files.\r\n\r\nThe precipitation rate analysis uses processed radar and satellite data, together with surface reports and Numerical Weather Prediction (NWP) fields. The UK has a network of 15 C-band rainfall radars and data form these are processed by the Met Office NIMROD system.\r\n\r\n\r\nPlease note CEDA are not able to fulfil requests for missing data from this archive. The data may be available at a cost by contacting the Met Office directly with required dates. It is worth contacting the CEDA first to check if the reason for the gap is already identified as being due to the data not existing at all.\r\n\r\nCEDA does not support reading software but programs written by the community to do this task in IDL, Matlab, FORTRAN and Python are available in the dataset software directory.\r\n\r\nThe data files contain integer precipitation rates in unit of (mm/hr)*32. Each value is between 0 and 32767. In practice it is rare to see a value in excess of 4096 i.e. 128 mm/hr.\r\n\r\nAt 10:00 on 14 June 2005, the 1 km composite data files became larger with 2175 rows by 1725 columns compared to the previous 775 rows by 640 columns. From 14:55 on 30 August 2006, the 1 km composite data files are gzipped files. From 13 Nov 2007, the 1 km composite is derived directly from processed polar (600m x 1 degree) rain rate estimates and there is more detail in the rain structure." }, { "ob_id": 14698, "uuid": "d15b225556a84b1293020ce798cf465e", "short_code": "ob", "title": "MSG: Visible imagery at 0.8 micron over the UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains visible images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 26302, "uuid": "dbbf8c12f3ad48309829735f7f2e6359", "short_code": "ob", "title": "FAAM C076 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 14700, "uuid": "503a5b20eb4c42819a802a8525f753f8", "short_code": "ob", "title": "MSG: Visible imagery at 1.6 micron over the UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains visible images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 31948, "uuid": "ffc9ed384aea471dab35901cf62f70be", "short_code": "ob", "title": "NCAS mobile X-band radar scan data from 1st November 2016 to 4th June 2018 deployed on long-term observations at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), Hampshire, UK", "abstract": "This dataset contains scan data from the National Centre for Atmospheric Science Atmospheric Measuring Facility's mobile X-band radar between 1st November 2016 to 4th June 2018 at Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK, as part of ongoing long-term observations made by the NERC National Centre for Atmospheric Science (NCAS). The radar transmits pulses of electromagnetic radiation and measures the amount of energy backscattered to the receiver from which the location and intensity of precipitation, radial winds and polarisation parameters can be calculated. \r\n\r\nParameters available in these data files include:\r\ndBZ - equivalent reflectivity factor;\r\nV - radial velocity;\r\nW - spectral width;\r\nZDR - differential reflectivity;\r\nKDP - specific differential phase shift;\r\nPhiDP - differential phase shift;\r\nRhoHV - co-polar cross correlation coefficient;\r\nSQI - signal quality index or normalized_coherent_power.\r\nA complete list of all available parameters is available on the CEDA data catalogue record for this dataset.\r\n\r\nThe sur files contain a volume of scans at different elevation angles between 0 and 90 degrees, approximately every 5-6 minutes. \r\nThe rhi files contain a single cross-section scan at a given azimuth and an elevation range of 0 to 180 degrees, every 5-6 minutes.\r\n\r\nThe data are available as netCDF files to all registered CEDA users under the Open Government License." }, { "ob_id": 26306, "uuid": "7b76a4b7b278441eb75b34265863cd80", "short_code": "ob", "title": "FAAM C075 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 14644, "uuid": "aa00692ce0d943d3bb281e3483d166fe", "short_code": "ob", "title": "MSG: Infra-red reflectance imagery at 3.9 micron over the UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains infa-red reflectance images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 26391, "uuid": "bcd53f938d0244879e2e560833fe1b7d", "short_code": "ob", "title": "FAAM C098 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 14646, "uuid": "e33b5071f91049d7968bd46a48a238d8", "short_code": "ob", "title": "MSG: Infra-red imagery at 10.8 micron over the UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains infa-red reflectance images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 14648, "uuid": "ed3d1be5776a44528e83881d546c1e54", "short_code": "ob", "title": "MSG: Infra-red imagery at 10.8 micron over the large UKV domain area", "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains infa-red images from MSG satellites over the UKV domain area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\n\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).\n" }, { "ob_id": 27960, "uuid": "f25377d76d7e40faa4a7ad4bd4b2dfe0", "short_code": "ob", "title": "FAAM C174 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 12294, "uuid": "022a3d5ba0204c4c9bbe983b437289b7", "short_code": "ob", "title": "Met Office MSLP Charts images June 2014 to present from the Met Office's SWIFT system", "abstract": "UK Met Office charts analyses pertaining to Mean Surface Level Pressure and 24 hour Weather Frontal Forecasting for the UK and Western Europe for the 00 and 12UT forecast runs. The charts in this dataset, at time steps at T+00, 24, 48 and 72 hours, have been produced by the Met Office's SWIFT system using VisualWeather, following a switch from the feed provided by the Met Office's GCPS Commercial System (see related dataset). The data in this collection cover the period 30th June 2014 to present, though initially with some data gaps." }, { "ob_id": 3471, "uuid": "45b25a7c531563f4422afcaeea0f07a7", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Meteorological Sensor Data, Chilbolton Site", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Meteorological Sensor from 2001 to present at Chilbolton, Hampshire. The standard meteorological measurements are made at Chilbolton in support of all experiments at the Observatory. The data are automatically recorded every 10 seconds from a range of different sensors. The dataset contains measurements including temperature, dew point, pressure, wind speed and wind direction." }, { "ob_id": 27954, "uuid": "f8d2be97bd15411c81d2d830f31d1413", "short_code": "ob", "title": "FAAM C171 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 3531, "uuid": "aac5f8246987ea43a68e3396b530d23e", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer Data, Chilbolton Site", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of April 2003 to the present at Chilbolton, Hampshire. The dataset contains measurements of the drop size distribution of rain." }, { "ob_id": 26326, "uuid": "25b2a346c6f24032ba746b9dc852ff75", "short_code": "ob", "title": "FAAM C082 PICASSO flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 26314, "uuid": "fee9fa644dfe4737aaa8f2c98ec5462d", "short_code": "ob", "title": "FAAM C079 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 27950, "uuid": "f27790e1281b4b95aac43ee6f5cad2a5", "short_code": "ob", "title": "FAAM C169 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 27922, "uuid": "28c528938309493d9c00704e0bf71ab0", "short_code": "ob", "title": "FAAM C155 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 26318, "uuid": "98dd071c01654b22ad3dc521252986b7", "short_code": "ob", "title": "FAAM C080 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 36833, "uuid": "318761643a8f4a4696456094822a1fbb", "short_code": "ob", "title": "FAAM C240 PICASSO flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 26322, "uuid": "64c9279112bb4e0cadb6adaebf1141eb", "short_code": "ob", "title": "FAAM C081 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." }, { "ob_id": 27952, "uuid": "165fb2ebd2d04d5f9604fa094fc998e7", "short_code": "ob", "title": "FAAM C170 PICASSO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129272, 129273, 129274, 129275, 129269, 129270, 129271, 129268, 129276, 129277 ], "onlineresource_set": [], "project_set": [ 26081 ] }, { "ob_id": 29924, "uuid": "ec4926a38c0f4fb181f1e20eb93e0b64", "short_code": "coll", "title": "ACRUISE: Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations", "abstract": "In-situ ground based observations, airborne observations by the FAAM BAE-146 aircraft, and process-level modelling output for the Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project.", "keywords": "ACRUISE, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2017-08-03T12:15:43", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 36957, "uuid": "2519ee513ff7459dae27bb15efe4bad5", "short_code": "ob", "title": "FAAM C254 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36969, "uuid": "5b9bc40c0e574aca975f12b9a62f9cea", "short_code": "ob", "title": "FAAM C257 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 27972, "uuid": "8a82aaba174049ba8a07dea6ac5c79ab", "short_code": "ob", "title": "FAAM C180 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27988, "uuid": "8a95ecc333514201bca76da92464db3d", "short_code": "ob", "title": "FAAM C188 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36981, "uuid": "409672d370fd46259cb2b42c52683618", "short_code": "ob", "title": "FAAM C260 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 37466, "uuid": "20ee9eb360da44fca27ae70a996471d9", "short_code": "ob", "title": "FAAM C286 ACRUISE flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27976, "uuid": "83bd28767d374187a4258124464570df", "short_code": "ob", "title": "FAAM C182 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36945, "uuid": "4979abad164349feb070a94949007f32", "short_code": "ob", "title": "FAAM C251 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 27978, "uuid": "8bb0a2aa7a2746b2a9f4b57c80c345ea", "short_code": "ob", "title": "FAAM C183 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36965, "uuid": "ed078235b897464f9ba23a3c60d6f286", "short_code": "ob", "title": "FAAM C256 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 37462, "uuid": "8d6c7296be464b26a01747bc61cb97bd", "short_code": "ob", "title": "FAAM C285 ACRUISE flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 25285, "uuid": "8f1ff8ea77534e08b03983685990a9b0", "short_code": "ob", "title": "Penlee Point Atmospheric Observatory: Meteorological and chemical observations 2014- present", "abstract": "The Penlee Point Atmospheric Observatory (PPAO) was established by the Plymouth Marine Laboratory in May 2014 for long term observations of ocean-atmosphere interaction. The observatory is only a few tens of metres away from the water edge and 11m above mean sea level.\r\n\r\nThis dataset contains air temperature, dew point, wind speed and direction, rainfall, sulphur dioxide, ozone, carbon dioxide and methane measurements from Penlee Point Atmospheric Observatory from 2014-2017.\r\n\r\nAt the mouth of the Plymouth Sound, the site (50° 19.08' N, 4° 11.35' W) is exposed to marine air when the wind comes from 110° - 240°. Typical southwesterly winds tend to bring relatively clean background Atlantic air. In contrast, winds from the southeast are often contaminated by exhaust plumes from passing ships. The PPAO is in close proximity to marine sampling stations that form the Western Channel Observatory, enabling better understanding of the ocean-atmosphere coupling." }, { "ob_id": 37470, "uuid": "b58b6af48cc642b1a84e936fcafd6352", "short_code": "ob", "title": "FAAM C287 ACRUISE flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27986, "uuid": "b7b277ca5e364e47bc66ef681663f788", "short_code": "ob", "title": "FAAM C187 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27980, "uuid": "824c98ae74ab4c79b6c2b8d4ea583dce", "short_code": "ob", "title": "FAAM C184 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27992, "uuid": "6ca616299afa400dbfad4252c58ddf0d", "short_code": "ob", "title": "FAAM C190 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36973, "uuid": "10be569d654441bdbda31f963c66fc0b", "short_code": "ob", "title": "FAAM C258 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36961, "uuid": "3332afd11cd6486bb613b5bb2d90f98f", "short_code": "ob", "title": "FAAM C255 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 27970, "uuid": "85fe4ca13a954e90b2721514bca9b585", "short_code": "ob", "title": "FAAM C179 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27974, "uuid": "c094e21ea1654031925d6e5303480479", "short_code": "ob", "title": "FAAM C181 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36985, "uuid": "c0fc4544c50a4a968a2d23376bdb9b1d", "short_code": "ob", "title": "FAAM C261 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 37001, "uuid": "d618390bd08c4addb44900177e513b8c", "short_code": "ob", "title": "FAAM C265 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 27984, "uuid": "4cd62976b41c49f3bb4cb2c10daed401", "short_code": "ob", "title": "FAAM C186 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27990, "uuid": "2541e8e1b8224b748f7275ca3c6b933e", "short_code": "ob", "title": "FAAM C189 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36989, "uuid": "f8b4cdf750c1475181d6c55c0ca9966a", "short_code": "ob", "title": "FAAM C262 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36977, "uuid": "59377d7318a64d3588ea0a518db9fc70", "short_code": "ob", "title": "FAAM C259 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36866, "uuid": "c4d6476b4d9b40f28019dedad266f4e5", "short_code": "ob", "title": "FAAM C249 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36993, "uuid": "48efb7a530764f0e9e8da77247fa4a43", "short_code": "ob", "title": "FAAM C263 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 37458, "uuid": "3419c3583acc487e9c78e6b8f3f9bde0", "short_code": "ob", "title": "FAAM C284 ACRUISE flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27968, "uuid": "75405457547449358421612ab4a525b5", "short_code": "ob", "title": "FAAM C178 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 27982, "uuid": "5ed6581711314d108ef8f0644040cdfc", "short_code": "ob", "title": "FAAM C185 ACRUISE flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project." }, { "ob_id": 36997, "uuid": "35ec2ae178aa441e90fdbc9576f6c5b4", "short_code": "ob", "title": "FAAM C264 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36949, "uuid": "9b8e349980cf4bb89831dad594db80b9", "short_code": "ob", "title": "FAAM C252 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36953, "uuid": "65fe153565994b8d8f4714003d90117c", "short_code": "ob", "title": "FAAM C253 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." }, { "ob_id": 36941, "uuid": "2b648927f054429f95a9c5de55facf38", "short_code": "ob", "title": "FAAM C250 ACRUISE-2 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACRUISE : Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) (ACRUISE-2) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129283, 129284, 129285, 129279, 129280, 129281, 129282, 129278, 129286, 129287 ], "onlineresource_set": [], "project_set": [ 27736 ] }, { "ob_id": 29937, "uuid": "38b8e5e524e1449ab4b4994970752644", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.5 data collection", "abstract": "Soil Moisture data (version 04.5) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31 and the ACTIVE product covering 1991-08-05 to 2018-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "citable", "dataPublishedTime": "2019-12-19T17:56:57", "doiPublishedTime": "2019-12-19T18:30:10", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29935, "uuid": "4a29dbf40fc3445395d72927700fafe7", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.5", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.5 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 29931, "uuid": "34090d316d514b55b7080a4181a28f8f", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.5", "abstract": "The Soil Moisture CCI COMBINED dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.5 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 29933, "uuid": "4b344dac208f4a82a35d544f6837d111", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.5", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.5 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 29929, "uuid": "20babc8f4dc449eaac11f47708e9f721", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.5", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. \r\n\r\nThe v04.5 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2018-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" } ], "identifier_set": [ 10672 ], "responsiblepartyinfo_set": [ 129371, 129372, 129373, 129374, 129375, 129376, 129378, 129377, 129379, 129380, 129381, 129382, 129383, 129384, 129385, 129386, 129387, 129388, 129618, 129389 ], "onlineresource_set": [ 36738, 36744, 36737, 36746, 36745, 36747, 36748, 36749, 36751, 36803, 36804, 36805 ], "project_set": [ 13332 ] }, { "ob_id": 29963, "uuid": "4065971a9c5a45e2b64d4dfcc2001e4d", "short_code": "coll", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Climate Research Data Package - Beta version", "abstract": "This collection of data is a Beta version of the Permafrost Climate Research Data Package (CRDP v0), which comprises the Version 1.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) for the period 2003-2017. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "publicationState": "published", "dataPublishedTime": "2019-12-17T17:56:20", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29964, "uuid": "9a333481e9a34c7a8f78902f77ad3fe7", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v1.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the Beta version of their Climate Research Data Package (CRDP v0). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v0 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m) for the Northern Hemisphere (north of 30°) for the period 2003-2017." }, { "ob_id": 29962, "uuid": "1ee56c42cf6c4ef698693e00a63795f4", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Active Layer Thickness for the Northern Hemisphere, v1.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the beta version of their Climate Research Data Package (CRDP v0). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v0 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. It covers the Northern Hemisphere (north of 30°) for the period 2003-2017." }, { "ob_id": 29965, "uuid": "c7590fe40d8e44169d511c70a60ccbcc", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Extent for the Northern Hemisphere, v1.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the Beta version of their Climate Research Data Package (CRDP v0). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v0 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). It covers the Northern Hemisphere (north of 30°) for the period 2003-2017." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129449, 129440, 129455, 129585, 129586, 129588, 204877, 204878, 129450, 129587, 129456, 129457, 129458, 129459, 129460, 129461, 129571, 129470, 129462, 129463, 129464, 129465, 129466, 129467, 129471, 129468, 129469 ], "onlineresource_set": [ 36773 ], "project_set": [ 29966 ] }, { "ob_id": 29977, "uuid": "7f35130cb8c947bf9013594aec6b3043", "short_code": "coll", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA)", "abstract": "This dataset collection contains data collected from the Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) project. MOCCHA aimed to study aerosol processes, the contribution of marine microbiology to their formation and properties, and their impact on the life cycle of low-lewel clouds in the central Arctic as part of the Arctic Ocean 2018 (AO2018) expedition. AO2018 took place between 1 August and 21 September 2018, departing from and returning to Longyearbyen. The expedition was centered around a 4-week long intensive observation period, where e icebreaker Oden was moored to an ice flow and drifted passively with the ice.", "keywords": "MOCCHA, AMF", "publicationState": "published", "dataPublishedTime": "2020-03-04T10:48:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 13 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30130, "uuid": "be7c7d11ab7f4a358002d53216214163", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): lidar radial velocity and backscatter data for vertical stare mode from the NCAS AMF Halo Doppler lidar on board Icebreaker Oden", "abstract": "This dataset contains lidar radial velocity and backscatter data for vertical stare mode from the NCAS AMF Halo Doppler lidar mounted on a motion stabilised platform on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects. Both projects are part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nData were corrected for ship motion. \r\n\r\nThe raw data and detailed instrument information can be obtained from the AMF archive at CEDA. \r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility (AMF) of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 39670, "uuid": "4c0e990d61454c22be9030777c7fbe89", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): ECMWF Integrated Forecasting System Cloudnet outputs", "abstract": "ECMWF Integrated Forecasting System (IFS) single-site (Oden) Cloudnet output during MOCCHA - data are used in McCusker et al. : Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n IFS data are passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\n\r\nIn directories:\r\n iwc-Z-T-ecmwf-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-ecmwf-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-ecmwf-grid/ - data include cloud fractions by volume for observations and model." }, { "ob_id": 39666, "uuid": "31a23a7fbb2c40828e8af2fd479b683e", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2M_Cloudnet)", "abstract": "Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al.: Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc568. Model options include: \r\n Cloud microphysics: Smith (1990) but includes a cloud/precipitation microphysical scheme with prognostic ice (Wilson and Ballard, 1999), based on Rutledge and Hobbs (1983). \r\n Extended boundary layer diagnostic list. \r\n Updated revision of suite u-bg610. \r\n U and V wind components interpolated on to common vertical grid. \r\n\r\n Model data from um_model_data/ are subsequently passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\nIn directories:\r\n iwc-Z-T-metum-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-metum-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-metum-grid/ - data include cloud fractions by volume for observations and model." }, { "ob_id": 32074, "uuid": "bac887be794d4c4587f302f764c12ec4", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Meteorological data from the measurement station on the ice floe", "abstract": "This dataset contains meteorological data, including air temperature, near-surface air temperature profiles, relative humidity, surface temperature, near-surface wind speed profiles, shortwave and longwave radiation components, wind speed and wind direction measured at a station on the ice floe during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 30106, "uuid": "9405b2f8056947609da4bcc0bc88c5e8", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): SPRS Icebreaker Oden ship navigation data", "abstract": "This dataset contains ship navigation data, including speed over ground, course, heading etc, form the Swedish Polar Research Secretariat's (SPRS) Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data are provided as supportive data for use with the other datasets within this collection, helping to account for ship movement during the expedition for later data analysis. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 39674, "uuid": "180f1c51a22f4fc48c947d33f6c0815e", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2T_Cloudnet)", "abstract": "Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al.: Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc568. Model options include: \r\n Cloud microphysics: Both the global model and LAM use the PC2 (Wilson et al., 2008) cloud scheme (i_cld_vn = 2); specifically, the LAM uses the RA2T_CON configuration. \r\n Also set l_subgrid_qcl_mp to .true. to allow for turbulent production of mixed-phase cloud. \r\n Extended boundary layer diagnostic list. \r\n U and V wind components interpolated on to common vertical grid. \r\n\r\n Model data from directory um_model_data/ are subsequently passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\nIn directories:\r\n iwc-Z-T-metum-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-metum-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-metum-grid/ - data include cloud fractions by volume for observations and model." }, { "ob_id": 30099, "uuid": "53f8ae572f57473c897566f5c0165f95", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor from an ice-floe site", "abstract": "This dataset contains surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor mounted at a 1.5-metre mast on an ice floe during the ice camp period of the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects. Both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data consist of quality controlled measurements at 1s.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 30132, "uuid": "0cb4cdde0ab6407690b2cc98dc858149", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): particle concentration and particle size distribution from the University of Leeds FSSP on board Icebreaker Oden", "abstract": "This dataset contains particle concentration and size distributions from the University of Leeds Forward Scattering Spectrometer Probe (FSSP) on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility (AMF) of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 29973, "uuid": "d7bdea4715b0410788ee3fd3ce36dc0f", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Composite temperature, humidity and wind profiles and derived variables from the NCAS AMF radiosondes launched from Icebreaker Oden", "abstract": "This dataset contains composite temperature, humidity and wind profiles, plus derived products, from the National Centre for Atmospheric Science's Atmospheric Measurement Facility (NCAS AMF) radiosondes (Vaisala RS92) launched from the Swedish Icebreaker Oden from the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data consist of individual radiosonde profiles as 2D time/height fields, with all profiles interpolated onto a fixed vertical grid for ease of analysis/plotting.\r\n\r\nThe vertical grid used is: 1m step to 5km, 10m step between 5 and 12 km, 50m step between 12 and 20 km. The data also includes derived variables (potential temperature etc).\r\n\r\nHumidity was corrected on profiles where the radiosonde selected the wrong (heated) humidity sensor. For some soundings the data file processing stopped too early, due to a loss of the GPS signal. Temperature and humidity data were recovered from the buffer files. Due to the loss of the GPS signal wind data are not available beyond the heights where the normal data files processing stopped.\r\n\r\nRadiosondes operated by Michael Tjernström, John Prytherch (University of Stockholm), Peggy Achtert (Uniersity Leipzig), Ian Brooks, Grace Porter and Mike Adams (University of Leeds). Data processing performed by Jutta Vuellers (University of Leeds).\r\n\r\nThese data are part of the ACAS project, funded by the Knut and Alice Wallenberg Foundation (Project PI Michael Tjernström). The sounding system was provided as part of the UK contribution to MOCCHA (UK project PI Ian Brooks) by the UK’s National Centre for Atmospheric Science (NCAS) Atmospheric Measurement Facility (AMF). \r\nNCAS AMF should be acknowledged in any publication making use of this data." }, { "ob_id": 30102, "uuid": "9fb19afbcb1644eabf7192bccc006a28", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): composite lidar wind profile data from the NCAS AMF Halo Doppler lidar on board Icebreaker Oden", "abstract": "This dataset contains composite lidar wind profile data from the NCAS AMF Halo Doppler lidar mounted on a motion stabilised platform on board the Swedish Icebreaker Oden during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nWind profiles are derived from a motion stabilised HALO Photonics Doppler lidar using 6-beam Velocity-Azimuth-Display (VAD) scans at two fixed elevations, 30° and 75°. Data are available only where the backscatter signal to noise ratio is better than -16dB, lidar internal QC checks and quality criteria for the VAD algorithm are all passed. Each profile is derived from 6 2-second dwell beams. Wind profiles were measured every 15 minutes, with 2 consecutive scans at 30 and 75°, 30 sec apart. The consecutive scans were merged into one wind profile with a vertical resolution of 10 m using a normalised weighted mean function.\r\nDocumentation & validation of the motion stabilisation and derived winds can be found in: Achtert P, Brooks IM, Brooks BJ, Moat BI, Prytherch J, Persson POG, Tjernström M (2015) Measurement of wind profiles by motion-stabilised ship-borne Doppler lidar, Atmospheric Measurement Techniques, 8, 4993-5007. doi: 10.5194/amt-8-4993-2015\" ;\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, { "ob_id": 39661, "uuid": "ebc32b4b3e3d4e1788bbdd66b6abb5de", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_CASIM-100_Cloudnet)", "abstract": "Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al. : Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. \r\n\r\n Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc278. Model options include: \r\n Unified Model version - 11.3, \r\n CASIM microphysics + cloud scheme (i_cld_vn = 1). \r\n Double-moment cloud microphysics - droplet activation = Abdul-Razzak and Ghan (2000); ice nucleation = Cooper (1986). \r\n 3 modes of soluble aerosol, no insoluble aerosol. \r\n Accumulation mode soluble aerosol - num = 1.00e8 /m3, mass = 1.50e-9 kg/kg. \r\n Aitken and coarse modes = 0. \r\n No aerosol processing. \r\n Updated RHcrit profile used in Unified Model vn11.4. \r\n Uses sea ice options from the global model (alpham = 0.72, dtice = 2.0). \r\n U and V wind components interpolated on to common vertical grid. \r\n\r\n Model data from directory um_model_data/ are subsequently passed through the Cloudnet algorithm to produce calibrated model data that may be used for direct comparisons with observations. Cloudnet combines cloud radar, ceilometer, microwave radiometer, and radiosonde profiles averaged to a common grid at the cloud radar resolution to derive a set of retrieved cloud properties. The Cloudnet products are designed to be used for evaluation of weather forecast models as well as fundamental process studies of cloud. From a modelling perspective, Cloudnet converts liquid and ice mass mixing ratios to the respective cloud water contents for direct comparison with observations, as well as filtering ice water contents for values that would be unobservable by radar. Note that the latitude/longitude relevant for each date in question can be found in these Cloudnet files. \r\n\r\nIn directories:\r\n iwc-Z-T-metum-grid/ - data include ice water content and total ice water path for observations and model. \r\n lwc-scaled-metum-grid/ - data include cloud liquid water content and liquid water path for observations and model. \r\n cloud-fraction-metum-grid/ - data include cloud fractions by volume for observations and model." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129546, 129549, 129550, 129551, 129555, 129557, 129554, 146936, 129547, 168365, 129548 ], "onlineresource_set": [], "project_set": [ 29975 ] }, { "ob_id": 29993, "uuid": "0a418abc19ee4700a49f9a86b519820f", "short_code": "coll", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG)", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v5 and v6. The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow.", "keywords": "GPM, NASA, rainfall, snow", "publicationState": "published", "dataPublishedTime": "2020-01-06T09:59:41", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 128 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 29978, "uuid": "47c32530265d4d6e8fdb6c08b2330371", "short_code": "ob", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) L3 Half Hourly 0.1 degree x 0.1 degree v6", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v6. The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2017 version of the Goddard Profiling Algorithm (GPROF2017), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiometer Algorithm (CORRA) product, and merged into half-hourly 0.1°x0.1° (roughly 10x10 km) fields. Level 3 data are averaged global gridded products, screened for bad data points\r\n\r\nThe Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow." }, { "ob_id": 26515, "uuid": "ff725747de574f7dbb8236a9c31984e5", "short_code": "ob", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) L3 Half Hourly 0.1 degree x 0.1 degree v5", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v5. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified U.S. algorithm that provides the Day-1 multi-satellite precipitation product. The precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2014 version of the Goddard Profiling Algorithm (GPROF2014), then gridded, intercalibrated to the GPM Combined Instrument product, and combined into half-hourly 10x10 km fields.\r\n\r\nThe Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129622, 129623, 129624, 129626, 129627, 129628, 129625, 168793, 168794, 168795 ], "onlineresource_set": [], "project_set": [ 26514 ] }, { "ob_id": 30025, "uuid": "c0edac5a52c64e55ab61bc49a493ef9c", "short_code": "coll", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Version 1.1 data collection", "abstract": "The ESA Sea State CCI project has produced global multi-sensor time-series of satellite altimeter significant wave height data with a particular focus for use in climate studies. A number of products are available: a Level 2P (L2P) along-track dataset, a Level 3 (L3) daily merged along-track dataset, and a L4 montly gridded product.\r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project, building on experience and existing outputs. It extends and improves the GlobWave products ,which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band).", "keywords": "CCI, Sea State, significant wave height", "publicationState": "published", "dataPublishedTime": "2020-01-30T16:57:55", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30003, "uuid": "f91cd3ee7b6243d5b7d41b9beaf397e1", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height, L2P product, version 1.1", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 2P (L2P) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.1 Remote Sensing Significant Wave Height product, along-track at approximately 6 km spatial resolution, separated per satellite and pass, including all measurements with flags, corrections and extra parameters from other sources. These are expert products with rich content and no data loss. \r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project building on experience and existing outputs. It extends and improves the GlobWave products which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in the Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." }, { "ob_id": 30013, "uuid": "47140d618dcc40309e1edbca7e773478", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing merged multi-mission monthly gridded significant wave height, L4 product, version 1.1", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global merged multi-sensor time-series of monthly gridded satellite altimeter significant wave height (referred to as Level 4 (L4) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.1 Remote Sensing Sea Surface Height product, gridded over a global regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all available altimeters on a monthly basis (using the L2P products also available). These L4 products are meant for statistics and visualization.\r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project, building on experience and existing outputs. It extends and improves the GlobWave products ,which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." }, { "ob_id": 30006, "uuid": "3ef6a5a66e9947d39b356251909dc12b", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing daily merged multi-mission along-track significant wave height, L3 product, version 1.1", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global daily merged multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 3 (L3) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.1 edited Remote Sensing Significant Wave Height product, along-track at approximately 6 km spatial resolution, which have been generated from upstream Sea State CCI L2P products, edited and merged into daily products, retaining only valid and good quality measurements from all altimeters over one day, with simplified content (only a few key parameters). This is close to what is delivered in Near-Real Time by the CMEMS (Copernicus - Marine Environment Monitoring Service) project. \r\n\r\nThis first version of Sea State CCI products is inherited from the GlobWave project building on experience and existing outputs. It extends and improves the GlobWave products which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129691, 129695, 129697, 129698, 129693, 129696, 204897, 204898, 129699, 129692, 129694 ], "onlineresource_set": [ 36827 ], "project_set": [ 30004 ] }, { "ob_id": 30041, "uuid": "14f16b7ee7f24f3992e84c22dfb736ca", "short_code": "coll", "title": "PM2.5 analysis results of samples taken from the Institute of Atmospheric Physics -Beijing site by the Si-SOA project", "abstract": "This dataset collection contains the results of the analysis conducted on PM2.5 (particulate matter) samples by the Si-SOA project. The PM2.5 samples were collected in the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, China during August 2018 and January 2019 by the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) project. \r\n\r\nThe PM2.5 samples were taken from ambient air at the height of 8m and subjected to a series of analytical techniques, and the data collection is comprised of the following results. \r\n\r\n- The concentration of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon in PM2.5 samples from Ultraviolet-Visible Spectrophotometry\r\n- The concentration of specific ions in PM2.5 samples from Ion Chromatography\r\n- The concentration of water-soluble Silicon in PM2.5 samples from Coupled Plasma - Optical Emission Spectrometry (ICP-OES)\r\n- The concentration of water-soluble elements in PM2.5 samples from Inductively Coupled Plasma Mass Spectrometry (ICP-MS)\r\n- The concentration of elements in PM2.5 samples from X-ray Fluorescence Spectrometry\r\n\r\nThese data support the study of atmospheric processes in relation to fine Silicon-containing particles, which may contribute to the formation of haze and atmospheric pollution.", "keywords": "SI-SOA, PM2.5, ions, chromatography, Silicon, fine particles, pollution, atmospheric chemistry", "publicationState": "published", "dataPublishedTime": "2020-02-18T09:05:49", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30034, "uuid": "e6adf61de7b1488bb2b6f7f245596d41", "short_code": "ob", "title": "Si-SOA: Concentration of water-soluble Silicon/water-soluble organic Silicon/water-Soluble inorganic silicon found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentrations of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon found in the PM2.5 samples resulting from analysis by Ultraviolet-Visible Spectrophotometry. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project." }, { "ob_id": 30027, "uuid": "7abc197a062a448bb32a76d6f3371c66", "short_code": "ob", "title": "Si-SOA: Concentration of water-soluble elements found in PM2.5 samples taken from Institue of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of water-soluble elements found in the PM2.5 samples resulting from the analysis by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project." }, { "ob_id": 30030, "uuid": "f73e6dce8284483191c6e832401bb547", "short_code": "ob", "title": "Si-SOA: Concentration of water-soluble Silicon found in PM2.5 samples taken from the Institute of Atmospgeric Physic Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of water-soluble Silicon found in the PM2.5 samples resulting from the analysis by coupled plasma - optical emission spectrometry (ICP-OES). The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project." }, { "ob_id": 30038, "uuid": "44d49866681f4e30b0fd39ec8eeefdaa", "short_code": "ob", "title": "Si-SOA: Concentration of elements found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of elements found in the PM2.5 samples resulting from X-ray Fluorescence Spectrometer (XRF) analysis. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution. \r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project." }, { "ob_id": 29994, "uuid": "7dc67a6d16b245e3bd56fb05ecf449a1", "short_code": "ob", "title": "Si-SOA: Concentration of specific ions found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019", "abstract": "This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of specific ions found in the PM2.5 samples resulting from the analysis by Ion Chromatography. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019. \r\n\r\nThe data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.\r\n\r\nThese data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 129804, 129805, 129806, 129807, 129808, 129810, 129811, 129809, 129812, 168417, 129813, 129814 ], "onlineresource_set": [], "project_set": [ 29996 ] }, { "ob_id": 30118, "uuid": "6a44fecc0f3842faaea53ab617dd2047", "short_code": "coll", "title": "UKCP18 Global Climate Model Projections for the UK", "abstract": "UK-scale data from Global climate model runs for 1900-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18) using the HadGEM3 climate model. The data is available at various temporal resolutions: daily, monthly, seasonal and annual and various spatial resolutions: on a 60km OSGB grid, for major UK river catchments and each of the countries of the United Kingdom.", "keywords": "UKCP18, UKCP, Climate, UK, Simulations, GCM, Historical, Projections", "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 212 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 26198, "uuid": "ca1066dfa1a34b88b7774b9df6d76f6e", "short_code": "ob", "title": "UKCP18 Global Projections by UK River Basins for 1899-2099", "abstract": "Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres.\r\n\r\nThis data set provides information on changes in climate across the entire globe from 1899 to 2099 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. \r\n\r\nThis dataset contains regional averages for 23 river basin regions across the UK. Further information on this dataset and UKCP18 can be found at https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/using-ukcp/guidance.\"" }, { "ob_id": 26201, "uuid": "854bb0de8a5e4bfaafe322bbfc57ea57", "short_code": "ob", "title": "UKCP18 Global Projections on a 60km grid over the UK for 1900-2100", "abstract": "Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres.\r\n\r\nThis data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. \r\n\r\nThis dataset contains 60km for the UK only on the Ordnance Survey's British National Grid. Further information on this dataset and UKCP18 can be found in the documentation section." }, { "ob_id": 26192, "uuid": "7ebab0df1a794d1fae245256af7de633", "short_code": "ob", "title": "UKCP18 Global Projections by Administrative Regions over the UK for 1899-2099", "abstract": "Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres.\r\n\r\nThis data set provides information on changes in climate across the entire globe from 1899 to 2099 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. \r\n\r\nThis dataset contains regional averages for 16 administrative regions across the UK. Further information on this dataset and UKCP18 can be found in the documentation section." }, { "ob_id": 26195, "uuid": "9775420633994c5f88b20c0bd1cff548", "short_code": "ob", "title": "UKCP18 Global Projections for UK Countries for 1900-2100", "abstract": "Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. \r\n\r\nThe set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres.\r\n\r\nThis data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. \r\n\r\nThis dataset contains regional averages for 8 \"\"country\"\" regions across the UK including England, England and Wales, Northern Ireland, Scotland, United Kingdom, Wales. Further information on this dataset and UKCP18 can be found in the documentation section." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 130143, 130144, 130145, 130147, 130149, 130146, 204925, 204926, 130148 ], "onlineresource_set": [ 36926, 36927, 36928 ], "project_set": [] }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments.", "keywords": "NCEO", "publicationState": "published", "dataPublishedTime": "2021-02-17T15:54:22", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 8179, "uuid": "f85043abfb1bddd5fbaa857ef2d00b55", "short_code": "ob", "title": "Theme 5 - Cryosphere and Polar Oceans - Ice Sheet Dynamics: Jakobshavn Glacier Velocity Maps (March-July 2011)", "abstract": "This dataset has been produced as part of the Theme 5 (Cryosphere and Polar Oceans) in the National Centre for Earth Observation which aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models. \r\n\r\nThis dataset holds timeseries of Greenland glacier velocity fluctuations as maps for the period March-July 2011. The 37 velocity maps were derived from SAR data acquired during the 2011 ERS-2 3-day campaign. The velocity maps are 3-day velocity averages and are given in meters per year (m/y) (magnitude values). The name of the velocity files provides the start and end date of each 3-day period.\r\n\r\nThe velocity fields were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007)): GLAS/ICESat 1 km laser altimetri digital elevation model of Greenland. Boulder, \r\nColorado USA: National Snow and Ice Data Centre. Digital media).\r\n" }, { "ob_id": 27345, "uuid": "6312f1117b044e0288720f11a9fdd36d", "short_code": "ob", "title": "Weighing trees with lasers: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-11), March 2017", "abstract": "This dataset is comprised of raw and proceesed data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed on a plot site situated in Malaysia Sabah Kabili-Sepilok Forest Reserve on the 20th March 2017 . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Forrestry: Old-growth.\r\n\r\nThe aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 6855, "uuid": "1fe6b1a91f83aa9183f42de0befb0292", "short_code": "ob", "title": "CCMVal-1: University of Leeds UMSLIMCAT model output contribution to the WMO 2006 REF1 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains UMSLIMCAT model output from the WMO 2006 REF1 experiment run by the University of Leeds." }, { "ob_id": 33275, "uuid": "6a6ccbb8ef2645308a60dc47e9b8b5fb", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nA spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).\r\n\r\nReferences:\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovač, Ž.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12,826. doi:10.3390/rs12050826" }, { "ob_id": 32738, "uuid": "5c2b70d069cb467ab73e80b84c3e395a", "short_code": "ob", "title": "Global ocean lagrangian trajectories based on AVISO velocities, v2.2", "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provide 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans 1998-2019 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information.\r\n\r\nVersion 2.2 is a higher resolution version of V2.0 and also has double value for time variables to permit access via THREDDS" }, { "ob_id": 39499, "uuid": "6b143f0feab14045b91556438b48cceb", "short_code": "ob", "title": "TCOM-CH4: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric methane profile dataset (1991-2021) constructed using machine-learning", "abstract": "This dataset contains daily zonal stratospheric methane profile outputs between 1991-2021 simulated by the TOMCAT model.\r\n\r\nThe TOMCAT simulation is performed at T64L32 resolution that is similar to the one used in Dhomse et al., (2021, 2022) for 1991-2021 time period. \r\n\r\nCollocated methane profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Initially, differences are calculated for each zonal bins for 46 height levels (15km to 60km). Then separate XGBoost regression models are trained for the methane differences between TOMCAT and measurements at each level for a given latitude bin. \r\n\r\nThe same model is used for all day/night time (2 X11323 days) TOMCAT output sampled at 1.30 am and 1.30 pm local time at the equator. Thus bias corrections for a given model grid are added to the original TOMCAT day and night time profiles. Height resolved data are then interpolated on 28-pressure levels (300 - 0.1hPa). For overlapping latitude bins, we use averages and then calculate daily zonal mean values. For more details regarding this methodology see the associated presentation on Zenodo.\r\n\r\nDataset also includes two files containing daily mean zonal mean methane profiles on height (15-60 km) and pressure (300-0.1 hPa) levels:\r\n\r\n- zmch4_TCOM_hlev_T2Dz_1991_2021.nc – height level data (15 to 60 km)\r\n- zmch4_TCOM_plev_T2Dz_1991_2021.nc – pressure level data (300 to 0.1 hPa)\r\n\r\nThe exact cause of unusual methane variations during 1991-1994 is unknown, however some recent studies argue that it could be due to sudden changes in methane loss processes following Mount Pinatubo eruption as well as significant changes in methane emissions following collapse of the Soviet Union." }, { "ob_id": 41440, "uuid": "a35041dacc534ceeb8f581296d2feb6b", "short_code": "ob", "title": "BICEP/NCEO: Marine phytoplankton carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020 ", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 8023, "uuid": "c329ca3377e9c14a7619df5a3d24618b", "short_code": "ob", "title": "ARC: Level 3 monthly sea surface temperature data", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy. \r\n\r\nThis dataset contains Level 3 monthly sea surface temperature data produced in ARC project.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade." }, { "ob_id": 40176, "uuid": "c3866a255e15470f9ed4a566ad0053ff", "short_code": "ob", "title": "BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) for between 1997-2021 at 9 km spatial resolution (derived from the Ocean Colour Climate Change Initiative version 5.0 dataset)", "abstract": "The BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) between 1997-2021 at 9km spatial resolution.\r\n\r\n\r\nParticulate inorganic carbon (PIC) data were generated using a random forest approach that incorporates the following key input variables: remote sensing reflectances (Rrs) at 560 and 665 nm, chlorophyll-a concentration, colour index, and maximum waterclass values. The Rrs(560), Rrs(665), and chlorophyll-a concentration data were obtained directly from the Ocean Colour Climate Change Initiative (OC-CCI) version 5.0. The colour index values were estimated using Mitchell et al. (2017) algorithm: Rrs(560) minus Rrs(665). The maximum waterclass values were estimated using fourteen optical waterclasses obtained from the OC-CCI version 5.0. The PIC data are provided as netCDF files containing global, month PIC concentration at 9 km spatial resolution (1997-2021). For more details on the algorithm and its validation, please see the BICEP algorithm theoretical basline document (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v5.0 data is also available (see link in the related records section)." }, { "ob_id": 8437, "uuid": "8a846281c530e892e01bfb43e96f439b", "short_code": "ob", "title": "CASIX TOPEX: kriged monthly mean ocean circulation data", "abstract": "TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations.\r\n\r\nThis dataset contains monthly means on a 1x1 latitude/longitude grid for 12 years (1993-2004). The data contains the following parameters: wind speed, squared wind speed, cubed wind speed, wind speed * significant wave height, significant wave height, 1/sigma0(Ku) and gas transfer velocity. TOPEX/Poseidon was a joint mission from the National Aeronautics and Space Administration (NASA), the U.S. space agency and the French space agency.\r\n\r\nThe dataset was produced by Fangohr, S. and D.K. Woolf of SOCS, as part of the NERC programme's Centre for observation of Air-Sea Interactions and FluXes (CASIX) and National Centre for Earth Observation (NCEO)." }, { "ob_id": 8585, "uuid": "7201151d40683a4420da90c30640d4fa", "short_code": "ob", "title": "Theme 2 Sub Theme 6: Global Phytoplankton Size Class (PSC) 10 Year Monthly Climatology (1997-2007) from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "This dataset contains the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) over the globe for the period 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data. A 10 year monthly climatology is available together with accompanying maps. This dataset was produced as part of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6)." }, { "ob_id": 27349, "uuid": "d616ea0a4bcc4b36a3f2b01a5d2077a9", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-02), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 19257, "uuid": "322ebb12dfdd4d39852b76f6835f8888", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 2.1", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 2.1 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. " }, { "ob_id": 19255, "uuid": "929b2ced9a8047b1a87b5d5883262008", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 2.0", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 2.0 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. " }, { "ob_id": 8173, "uuid": "dd6483225d844373621844fd2a6184a2", "short_code": "ob", "title": "Theme 5 - Cryosphere and Polar Oceans - Ice Sheet Dynamics: Jakobshavn Glacier Calving front - SAR backscatter images (March-July 2011)", "abstract": "This dataset has been produced as part of the Theme 5 (Cryosphere and Polar Oceans) in the National Centre for Earth Observation which aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models.\r\nThis dataset holds timeseries of Greenland glacier calving front fluctuations as maps and backscatter intensity images for the period March-July 2011. \r\n\r\nThe dataset consists of 38 SAR backscatter images acquired every 3 days between the 12th March and 1st July 2011 during the ERS-2 3-day campaign.\r\n\r\nThe backscatter data were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007): GLAS/ICESat 1 km laser altimetri digital elevation model of Greenland. Boulder, Colorado USA: National Snow and Ice Data Centre. Digital media). " }, { "ob_id": 27355, "uuid": "1d745315475c4fe4a0d561c4a02e0acd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (TAM-01), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 11654, "uuid": "6ec91b07179d44f48a4544887155a65a", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2006", "abstract": "Continuous GPS measurements during 2006 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." }, { "ob_id": 28009, "uuid": "3d8678091ba247e58e19a6fe5543487d", "short_code": "ob", "title": "Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester", "abstract": "Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2 and Level 3 S-polarised SIF. The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS ( Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. For each GOSAT sounding, the S-polarised spectra have been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm. For more information on the retrieval setup and bias correction, please see \"Novel Methods for Atmospheric Carbon Dioxide Retrieval from the JAXA GOSAT and NASA OCO-2 Satellites - Part II: Remote Sensing of Chlorophyll Fluorescence\" by Peter Somkuti." }, { "ob_id": 24920, "uuid": "717a3fd92989493aae6f4982fd5fca6c", "short_code": "ob", "title": "Cloud Index retrievals from MIPAS ENVISAT L1B using MIPclouds algorithm", "abstract": "This data set contains retrievals from Michelson Interferometer for Passive Atmospheric Sounding on Envisat (MIPAS-ENVISAT) cloud and aerosol and contains information on derived cloud-top height (km), cloud-top temperature (K), cloud extinction (cm-1), with uncertainties. It also includes the measured radiance in the three cloud microwindow bands (832.0-834.4 cm-1, 1232.3-1234.4 cm-1, 1973.0-1983.0 cm-1), with noise equivalent spectral radiance values. Cloud index values are also included which can be used to distinguish different clouds types based on the index value." }, { "ob_id": 8592, "uuid": "2d14cb23b3318b12c0aea374998e4a4d", "short_code": "ob", "title": "Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.02-1.10", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules.\r\n\r\nThe dataset was produced by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO)." }, { "ob_id": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "short_code": "ob", "title": "STFC RAL methane retrievals from IASI on board MetOp-A, version 2.0", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nThis work was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT.\r\n\r\nData were produced by the United Kingdom Research and Innnovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).\r\n\r\nThis is version 2.0 of the dataset." }, { "ob_id": 27312, "uuid": "d903e5f48267499992d00b92574caa8e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-03), June 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominent, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 8589, "uuid": "a91ae89c4c6d011f84cdfbc3d41a73c8", "short_code": "ob", "title": "Theme 2 Sub Theme 6: Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology (1997-2007) from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "This dataset contains the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) in monthly averages over the globe for the period 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data (The dataset was produced by the Plymouth Marine Laboratory by applying the algorithm of Brewin et al. (2010) directly to monthly SeaWiFS Level 3 composites of chlorophyll on a pixel-by-pixel basis.). A 10 year monthly climatology is also available as a separate dataset. Accompanying maps are available. This dataset was produced as part of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6).\r\n" }, { "ob_id": 8008, "uuid": "e6497acddf9cd8345ffbd0643c0d9729", "short_code": "ob", "title": "ARC: Level 3 daily sea surface temperature data v1.1", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.\r\n\r\nThis dataset contains version 1.1 of the Level 3 sea surface temperature data product produced by the ARC project team.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade." }, { "ob_id": 12984, "uuid": "6a81b77693c847929e0d31a6ce84a821", "short_code": "ob", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) merge - Version 1.0", "abstract": "ESA GlobAlbedo Broadband BRDF\r\n\r\n3.2.6 Merged BRDF Product\r\nAs output from the BBDR (Broadband Directional Reflectance) to BRDF processing chain, a final ‘merged’ BRDF product is generated. This product merges the two BRDF products for Snow/NoSnow pixels as described above into one product. The merged product serves as input for the final albedo retrieval as well as for the resampling and the mosaicking of the tile-based BRDF uncertainties into a global product." }, { "ob_id": 11650, "uuid": "d28bde5650d94e6491ac7a9fdc117672", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2008", "abstract": "Continuous GPS measurements during 2008 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." }, { "ob_id": 27203, "uuid": "d2e07c380e0448389db72dce786e5340", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-A), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 26136, "uuid": "489e9b2a0abd43a491d5afdd0d97c1a4", "short_code": "ob", "title": "RAL Infrared Microwave Sounder (IMS) temperature, water vapour, ozone and surface spectral emissivity", "abstract": "The Rutherford Appleton Laboratory (RAL) Infrared Microwave Sounder (IMS) data set contains vertical profiles of temperature, water vapour, and ozone as well as surface spectral emissivity spanning infrared and microwave, surface temperature, cloud fraction and height. Data are retrieved from co-located measurements by the Infrared Atmospheric Sounding Interferometer (IASI), the Microwave Humidity Sounder (MHS) and the Advanced Microwave Sounding Unit (AMSU) on board the Eumetsat Metop satellites.\r\n\r\nDevelopment of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH.\r\n\r\nData were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).\r\n\r\nThis first public release consists of a full processing of the Metop A mission from 2007 to the end of 2016, using version 2.1 of the algorithm.\r\n\r\nIMS data are produced with the horizontal sampling of IASI, ~25 x 25 km" }, { "ob_id": 27358, "uuid": "4a82c176ca994889862c271cc784f040", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-09), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27315, "uuid": "89c664b7a86341bfa1b65c9fc5a0347d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-04), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 43124, "uuid": "e41965a32923498396fd8a8446f066f1", "short_code": "ob", "title": "TOMCAT simulated Nord Stream methane plume, September 2022", "abstract": "This file contains the simulated atmospheric methane (CH4) mixing ratios over the North Sea and Northern Europe during the Nord Stream gas leak event during September 2022. Mixing ratios are provide on the TOMCAT T106 model grid, with a horizontal resolution of approximately 1.125 x 1.125 degrees. There are 60 vertical levels from the surface up to 0.1 hPa. The data covers the period from 00:00 UTC 26/09/2022 - 00:00 UTC 30/09/2022. There are two methane tracers, one containing background methane and methane from non-Nord Stream related sources, and a separate model tracer simulating CH4 from the Nord Stream leaks. For this simulation, Nord Stream was assumed to emit methane at a constant rate of 4.17 Gg hr^(-1). These simulations are discussed in Wilson et al., (2024) - 'Quantifying large methane emissions from the Nord Stream pipeline gas leak of September 2022 using IASI satellite observations and inverse modelling'." }, { "ob_id": 8446, "uuid": "c025eb1cb62acf6fc099c3450311772b", "short_code": "ob", "title": "International Satellite Land Surface Climatology Project Initiative II: AVHRR series at NOAA polar orbiting satellites", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea." }, { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob", "title": "University of Leicester GOSAT Proxy XCH4 v9.0", "abstract": "The University of Leicester GOSAT Proxy XCH4 v9.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S) CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes. The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details." }, { "ob_id": 8456, "uuid": "89a6078465eca969d258a069647ec120", "short_code": "ob", "title": "Theme 5 (Cryosphere and Polar Oceans) Sea Ice Elevation and Thickness and Ice Sheet Elevation Change: ENVISAT Radar Altimeter 2 (RA-2) 5-year Time Series (2002-2008) of Ice Thickness data", "abstract": "Theme 5 - Cryosphere and Polar Oceans - of the National Centre for Earth Observation (NCEO) is aimed at resolving uncertainties in future climate and sea-level arising from behaviour of the cryosphere. Under this theme, 5 year time series Ice thickness data used by Katharine Giles, Seymour Laxon and Andy Ridout in their paper \"Circumpolar thinning of Arctic sea ice following the 2007 record ice extent minimum\" (Geophysical Research Letters, Vol. 35, L22502, doi:10.1029/2008GL035710, 2008) are presented." }, { "ob_id": 19813, "uuid": "586ae7b2386741babc69c03a244264fd", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Merged SCIAMACHY and GOSAT Level 3 gridded atmospheric column-average methane (XCH4) product in Obs4MIPs format", "abstract": "This dataset contains satellite-derived atmospheric column-average dry-air mole fractions of methane (XCH4), and is a Level 3 gridded product in Obs4MIPs format. It has been derived by the Greenhouse Gases CCI (GHG_cci) project as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme, and was obtained from an ensemble of individual Level 2 (i.e. swath) XCH4 products, retrieved from the satellite sensors SCIAMACHY / ENVISAT and TANSO-FTS / GOSAT. The versions of the Level 2 GHG-CCI data products used as input for this product are those of the GHG_cci \"Climate Research Data Package No. 3\" (CRDP#3).\r\n\r\nThis Level 3 Obs4MIPs XCH4 product has been specifically generated for comparisons with climate model output in the context of the CMIP5/CMIP6/IPCC experiments." }, { "ob_id": 12414, "uuid": "84d4f66b668241328df0c43f8f3b3e16", "short_code": "ob", "title": "GloboLakes: high-resolution global limnology dataset v1", "abstract": "These data are high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. This includes: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates on a high-resolution (1/360x1/360 degree) grid, produced by the Department of Meteorology at the University of Reading. Data was derived using the ESA CCI Land Cover Map (see linked documentation). \r\n\r\nDatasets containing information to locate and identify water bodies have been generated from high-resolution (1/360x1/360 degree, about 300mx300m) data locating static-water-bodies recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency. The new datasets provide: distance to land, distance to water, water body identifiers and lake centre locations. The lake identifiers (IDs) are from the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database. \r\n\r\nThe LC CCI water bodies dataset has been obtained from multi-temporal metrics based on time series of the backscattered intensity recorded by ASAR (Advanced Synthetic Aperture Radar) on Envisat between 2005 and 2010. Temporal change in water body extent is common. Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated.\r\n\r\nThe paper associated with this dataset is: \r\nL.Carrea O. Embury C.J. Merchant \"High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates\" Geoscience Data Journal, vol. 2 issue 2, pp. 83-97, November 2015. DOI: 10.1002/gdj3.32\r\n" }, { "ob_id": 27346, "uuid": "275dd9bd0a9f42ff8b226c542b16a772", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-05), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 31969, "uuid": "69b2c9c6c4714517ba10dab3515e4ee6", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution. Data are provided in NetCDF format.\r\n\r\nPrimary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’\r\n(PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon\r\nExchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nReferences:\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovac, Z.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12, 826. doi:10.3390/rs12050826\r\n\r\nSathyendranath, S.; Platt, T.; Žarko K.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Nón, E.M.; Kulk, G.; Bouman, H. Reconciling models of primary production and photoacclimation. Appl. Opt.\r\n2020a, 59, C100-C114. doi.org/10.1364/AO.386252." }, { "ob_id": 2743, "uuid": "a70ed62e4ceb075c47dc0d18b3d6b408", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 1.0", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 1.0 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles." }, { "ob_id": 12267, "uuid": "46d70a7636284690882e4ba01cd997c2", "short_code": "ob", "title": "Global Vegetation Height Frequency Distributions (v1.1) from the ICESAT GLAS instrument produced under NCEO", "abstract": "This dataset provides global (between 60 S and 80 N) vegetation height (or object height) frequency distributions per half by half degree longitude and latitude derived from ICESAT Geoscience Laser Altimeter System (GLAS) waveform data.\r\n\r\nThis version 1.1 data was produced as part of the National Centre for Earth Observation (NCEO) " }, { "ob_id": 24701, "uuid": "e5fb0e74b8104302a43e8a24dc45e038", "short_code": "ob", "title": "AGB-MEX Forrest BIOMASS map for Mexico V1.0", "abstract": "Ground data from the National Forest and Soil Inventory of Mexico (INFyS) were used to calibrate a maximum entropy (MaxEnt) algorithm to generate forest biomass (AGB), its associated uncertainty, and forest probability maps. The input predictor layers for the MaxEnt algorithm were extracted from the moderate resolution imaging spectrometer (MODIS) vegetation index (VI) products, ALOS PALSAR L-band dual-polarization backscatter coefficient images, and the Shuttle Radar Topography Mission (SRTM) digital elevation model. A Jackknife analysis of the model accuracy indicated that the ALOS PALSAR layers have the highest relative contribution (50.9%) to the estimation of AGB, followed by MODIS-VI (32.9%) and SRTM (16.2%). The forest cover mask derived from the forest probability map showed higher accuracy (κ = 0.83) than alternative masks derived from ALOS PALSAR (κ = 0.72–0.78) or MODIS vegetation continuous fields (VCF) with a 10% tree cover threshold (κ = 0.66). The use of different forest cover masks yielded differences of about 30 million ha in forest cover extent and 0.45 Gt C in total carbon stocks. The AGB map showed a root mean square error (RMSE) of 17.3 t C ha− 1 and R2 = 0.31 when validated at the 250 m pixel scale with inventory plots. The error and accuracy at municipality and state levels were RMSE = ± 4.4 t C ha− 1, R2 = 0.75 and RMSE = ± 2.1 t C ha− 1, R2 = 0.94 respectively. We estimate the total carbon stored in the aboveground live biomass of forests of Mexico to be 1.69 Gt C ± 1% (mean carbon density of 21.8 t C ha− 1), which agrees with the total carbon estimated by FAO for the FRA 2010 (1.68 Gt C). The new map, derived directly from the biomass estimates of the national inventory, proved to have similar accuracy as existing forest biomass maps of Mexico, but is more representative of the shape of the probability distribution function of AGB in the national forest inventory data. Our results suggest that the use of a non-parametric maximum entropy model trained with forest inventory plots, even at the sub-pixel size, can provide accurate spatial maps for national or regional REDD + applications and MRV systems." }, { "ob_id": 33423, "uuid": "5aa32fb863a048f0b24c541639cfd990", "short_code": "ob", "title": "RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1", "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. \r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nThe retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. Data were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”" }, { "ob_id": 31992, "uuid": "4fa633d24d104217a4c9d3fb3589f35d", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01 rsut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." }, { "ob_id": 25886, "uuid": "8eb35b1ab1b2476986d174a2f0231307", "short_code": "ob", "title": "IASI global monthly averages of effective sulphur dioxide (SO2) column amounts, 2007 - 2014, version 1.0", "abstract": "This dataset contains global monthly averaged effective sulphur dioxide (SO2) column amounts derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Walker et al. (2011, 2012) linear retrieval developed for the Infrared Atmospheric Sounding Interferometer, which is able to detect sulphur dioxide (SO2) gas. This dataset contains monthly averages of this retrieval output from June 2007 to December 2014 across the globe, within which it is possible to identify the period and the location of when we have an anomaly of SO2 in atmosphere. This includes volcanic eruptions alongside non-eruptive volcanic degassing, and human pollution sources. \r\n\r\nWithin the dataset are the average effective SO2 column amounts in Dobson Units (DU) for 0.125º by 0.125º gridboxes across the globe. Also included for each grid box are the standard deviation, and the number of pixel boxes contributing to the mean. The results from this dataset are discussed in Taylor et al. (2018) 'Exploring the utility of IASI for monitoring volcanic SO2 emissions' in review at JGR: Atmospheres." }, { "ob_id": 33412, "uuid": "5006f2c553cd4f26a6af0af2ee6d7c94", "short_code": "ob", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section)." }, { "ob_id": 41239, "uuid": "90148d9b1f1c40f1ac40152957e25467", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rlut 1hrCM), v20231221", "abstract": "This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument.\r\n\r\nThis is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products.\r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output." }, { "ob_id": 13804, "uuid": "510b22c6d12e4635b604c172b583167e", "short_code": "ob", "title": "STFC RAL methane retrievals from IASI on board MetOp-A, version 1.0", "abstract": "The Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). It also includes column-averaged water vapour (H2O), a scale factor for the HDO volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nThis work was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT.\r\n\r\nData were produced by the Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).\r\n\r\nThis is version 1.0 of this dataset and is the first to be released." }, { "ob_id": 32592, "uuid": "653fdd814dba4103a301221955781e35", "short_code": "ob", "title": "NCEO Kenya forest aboveground biomass map 2015 v21.0", "abstract": "The NCEO Kenya forest aboveground biomass map shows aboveground woody biomass (AGB) in Kenyan forests. Forest areas include vegetated wetlands and wooded grassland for the year 2015. The map was generated by combining field inventory plots (KFS) with Advanced Land Observing Satellite (ALOS-2), Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) and multispectral optical data (NASA Landsat 8), by means of a Random Forests algorithm within a k-Fold calibration/validation framework. \r\n\r\nThe characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest inventory. These data were produced by the National Centre for Earth Observation (NCEO), University of Leicester, in collaboration with the Kenya Forest Service (KFS) with funding from the NCEO ODA Programme. \r\n\r\nKnown Issues: Residual scan line corrector (SLC) effects due to the use of the SLEEK land cover product as a retrieval mask (derived from Landsat imagery) are visible in some areas" }, { "ob_id": 40760, "uuid": "b80870de014a43a498fc2684e78f32af", "short_code": "ob", "title": "Retrieved sulfur dioxide column amounts and heights from the IASI instrument (9-30 April 2021) v1.0", "abstract": "This dataset contains retrievals of sulfur dioxide (SO2) from the Infrared Atmospheric Sounding Interferometer (IASI) on the MetOp platforms. This is a global dataset for 9-30th April 2021 which includes plumes from La Soufrière (St Vincent), Sabancaya (Peru) and Sangay (Ecuador). \r\n\r\nTwo retrieval schemes have been used: (1) Walker et al. (2011,2012) linear retrieval which flags pixels containing SO2 and (2) Carboni et al. (2012,2016) iterative retrieval which quantifies information about the SO2 including the column amount, height and the associated errors. The retrieved outputs are provided for individual IASI orbits. \r\n\r\nThis dataset was used to study the large plume of SO2 from the April 2021 eruption of La Soufrière on St Vincent in the Eastern Caribbean. \r\n\r\nThe data has been produced by the Earth Observation Data Group at the University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET)." }, { "ob_id": 8441, "uuid": "da9288387796a9b80c619c611f330a58", "short_code": "ob", "title": "International Satellite Land Surface Climatology Project Initiative II: VHRR FASIR at unknown computer", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea." }, { "ob_id": 6875, "uuid": "85848d8879bf9aea8b08aa24c97c0850", "short_code": "ob", "title": "CCMVal-1: University of Leeds UMSLIMCAT model output contribution to the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains UMSLIMCAT model output from the WMO 2006 REF2 experiment run by the University of Leeds." }, { "ob_id": 8328, "uuid": "b318e76e5a427ad9cc233aad60f1684d", "short_code": "ob", "title": "CASIX: Global monthly carbon primary production estimates", "abstract": "CASIX, the Centre for observation of Air-Sea Interactions & fluXes, is a NERC Centre of Excellence in Earth Observation. The scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle.\r\n\r\nThis dataset contains global monthly primary production estimates derived using the Smyth et al 2005 model from SeaWiFS data." }, { "ob_id": 32470, "uuid": "fe3cb5120fa74fa7974820c2e2a238a7", "short_code": "ob", "title": "Global Ocean Lagrangian Trajectories based on AVISO velocities, v2.0, 1998-2018", "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information." }, { "ob_id": 41444, "uuid": "bb21fcb130754f02b322e6662bba743b", "short_code": "ob", "title": "BICEP/NCEO: Marine phytoplankton carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 17727, "uuid": "16f241ece2ef483a91e8894558e66e5e", "short_code": "ob", "title": "FAAM B297 GERBIL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GERBIL - GERB Intercomparison of Longwave Radiation project." }, { "ob_id": 7999, "uuid": "2e9b9a859b7fcf674b5ae7fc9da3c00e", "short_code": "ob", "title": "ARC: Level 3 daily sea surface temperature data v1.0", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.\r\n\r\nThis dataset contains version 1.0 of the Level 3 sea surface temperature data product produced by the ARC project team.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade." }, { "ob_id": 26423, "uuid": "33592524dd9a4b2f897edbddb69b3381", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data, French Guiana, Cayenne, Nourague Nature Reserve plot site (NOU-11), November 2015", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in French Guiana, Cayenne, Nourague Nautre Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 31989, "uuid": "7aa17e66aaab4ece87064272b9f94e3a", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01 rlut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." }, { "ob_id": 11651, "uuid": "aeaa302423864c7ea2286f30893a3476", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2003", "abstract": "Continuous GPS measurements during 2003 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." }, { "ob_id": 27366, "uuid": "d40bf62899014582a72d24154a94d8e2", "short_code": "ob", "title": "IASI retrieval of sulphur dioxide (SO2) column amounts and altitude, 2014-09 to 2015-02, version 1.0", "abstract": "This dataset contains global retrieval of sulphur dioxide (SO2) column amounts and altitudes derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Carboni et al. (2012,2016) retrieval algorithm for the Infrared Atmospheric Sounding Interferometer which retrieve column amount and altitude (together with a comprehensive error budget for every pixel) using simultaneously all the IASI channels between 1000–1200 and 1300–1410 cm−1. It has a global coverage and includes the six-month-long Holuhraun eruption, from September 2014 to February 2015, together with other events during the same periods such as: volcanic activity on the Kamchatka peninsula, Etna and Capo verde eruptions, anthropogenic SO2 emissions from China.\r\n\r\nThe data presents the results of the retrieval for every IASI 'plume' pixels (e.g. that result positive to the IASI SO2 detection) including: column amount (in Dobson Unit - DU), altitude (in millibar and successively converted in km using meteorological profile), surface temperature. It also includes quality control parameters and quality flags: for generic use we recommend using data with flag = 1. Quality control parameters available are: degree of freedom, cost function, convergence. These quality control paramenters are also summarized in two 'stricted' and 'relaxed' quality control flags. \r\n\r\nThis dataset also includes location of all IASI pixels in the same orbit (non plume pixel) to allow regridding and comparison with other instruments and models." }, { "ob_id": 27325, "uuid": "e06a9cc321b149c3b2ab878788f92798", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed , Forrestry: Secondry Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 31913, "uuid": "ef09d81517a84979ac60329e4859f449", "short_code": "ob", "title": "NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)", "abstract": "The National Centre for Earth Observation (NCEO): Monthly global Particulate Organic Carbon (POC) dataset contains POC concentrations gridded on both sinusoidal (SIN) and geographic (GEO) grid projections at 4 km spatial resolution for 1997-2020. The POC dataset has been produced using the Ocean Colour Climate Change Initiative Remote Sensing Reflectance (Rrs) products, Version 4.2. The dataset includes the Rrs at 443 nm and 555 nm with pixel-by-pixel uncertainty estimates for each wavelength.\r\n\r\nFor more details on the algorithm and its validation, please see papers by Stramski et al. (2008) and Evers-King et al. (2017). Please note that the validation of the POC algorithm is a continuing process. To increase the accuracy of POC algorithms, further in situ POC data need to be collected with high spatial and temporal resolution." }, { "ob_id": 11652, "uuid": "94c768b9f7e54685a8c2bb6a78e33412", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2004", "abstract": "Continuous GPS measurements during 2004 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." }, { "ob_id": 8311, "uuid": "2468111923fd4ebc5da07e727e6c88e8", "short_code": "ob", "title": "(A)ATSR Validation Campaign - SISTeR SST Data from RMS Queen Mary 2", "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR (Scanning Infrared Sea surface Temperature Radiometer). To ensure the accuracy of the (A)ATSR, there have been joint efforts to validate the measurement data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). This dataset contains the SST data of the Atlantic Ocean, Indian Ocean, and the Western Pacific measured by the SISTeR on-board RMS Queen Mary 2 (QM2) during her voyages since 2010. The data collection continues despite the end of AATSR mission for continuation of SST measurement before the deployment of SLSTR on Sentinel-3." }, { "ob_id": 33460, "uuid": "4bbcb1722f2842c1b0a5ebc19160a863", "short_code": "ob", "title": "STFC RAL methane retrievals from IASI on board MetOp-B, version 2.0", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0 of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0 scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL)." }, { "ob_id": 2752, "uuid": "e52c3665affc48d741d235b734769366", "short_code": "ob", "title": "UTLS-Ozone SLIMCAT: Leeds University Three dimensional chemistry transport model (CTM) measurements Version 1", "abstract": "The SLIMCAT Reference Atmosphere for UTLS-Ozone was a set of example output from the SLIMCAT three-dimensional chemical transport model (CTM). It includes three-dimensional global fields of chemical (and sometimes meteorological) variables as computed for twelve dates in 1997, near the middle of each month.\r\n\r\nThis data set includes 12 files, each of them corresponding to one output time near the middle of each month of Year 1997 (12 Jan, 11 Feb, 13 Mar, 12 Apr, 12 May, 11 Jun, 11 Jul, 10 Aug, 19 Sept, 19 Oct, 18 Nov, 18 Dec). Each file contains the calculated 3-D distribution of 37 chemical species or families and 6 meteorological variables. The model used is the SLIMCAT chemistry transport model (CTM). The model was run from October 1991 and forced by the UK Met Office analyses. The model used 18 isentropic levels. The vertical coordinate in the data files is the globally averaged altitude. The real lat/lon-dependent altitude is given in the ALT field recorded in the files. The THETA field gives the real model theta levels (which are constant with latitude/longitude).\r\n\r\nData from Martyn Chipperfield, University of Leeds. NERC Research Programme UTLS-Ozone (Upper Troposphere and Lower Stratosphere) and National Centre for Earth Observation (NCEO).\r\n\r\nA newer version 2 dataset was produced in 2009 that supersedes this dataset." }, { "ob_id": 19253, "uuid": "ec206b93dedb4f56a9a18c6110083350", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 1.2", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 1.2 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. " }, { "ob_id": 12983, "uuid": "4425b0c4e5b346008cd4b1a09b5b96e3", "short_code": "ob", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) inversion - Version 1.0", "abstract": "As output from the BBDR (Braodband Directional Reflectance) to BRDF processing chain, a BRDF product is generated. This product contains all BRDF model parameters as derived from the Globalbedo inversion algorithm. \r\n\r\nSpectral BRDF, is the fundamental description of surface reflectance, being the ratio of reflected spectral radiance (Wm-2sr-1nm-1) exiting around a direction vector Ω (relative to a surface normal vector) to the spectral irradiance (Wm-2nm-1) incident on the surface from direction Ω at some wavelength λ." }, { "ob_id": 27475, "uuid": "4de00ab3487b4fc99ea5a53a86715848", "short_code": "ob", "title": "TOMCAT/SLIMCAT Monthly Mean Ozone Output: 1979-2016", "abstract": "This dataset contains monthly mean ozone output between 1979-2016 simulated by the TOMCAT/SLIMCAT model. \r\n\r\nThe data contains ozone and a passive odd-oxygen tracer that is set equal to the modelled chemical Ox =O(3 P)+O(1 D)+ O3 concentration on the first day every year and then advected passively without chemistry. It was simulated using the TOMCAT/SLIMCAT three-dimensional offline chemical transport model, using σ-p vertical coordinates and identical stratospheric chemistry and aerosol loading, solar flux input and surface mixing ratios of long-lived source gases. \r\n\r\nThe long-term simulation (1979-2016) was performed with a T42 horizontal resolution of approximately 2.8° latitude × 2.8° longitude and 32 levels from the surface to 60 km. The model uses horizontal winds and temperature from the reanalysis data of the European Centre for Medium-Range Weather Forecasts. \r\n\r\nThe TOMCAT/SLIMCAT model contains a detailed description of the distribution of chemical species for the troposphere and stratosphere including heterogeneous reactions on sulfate aerosols and liquid/solid polar stratospheric clouds either with a simple or full microphysical PSC scheme, as well as chemistry reactions of the oxygen, nitrogen, hydrogen, chlorine and bromine families. The model uses a hybrid σ-p or σ-θ vertical coordinate and has an option to run at different horizontal resolution forced by different meteorological reanalysis. Tracer transport uses the conservation of the second order moments scheme of Prather. Vertical advection is calculated from the divergence of the horizontal mass flux." }, { "ob_id": 33414, "uuid": "a6fc730d88fd4935b59d64903715d891", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset.\r\n\r\nExport production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption." }, { "ob_id": 8599, "uuid": "0ce969a5aef0fb1a7b00d7136706b76c", "short_code": "ob", "title": "Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.40", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules. The data was produced using v1.40 of the algorithm by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO)." }, { "ob_id": 32598, "uuid": "32274aca008b4f7799e8cea69ad3508e", "short_code": "ob", "title": "Yucatan Peninsula and Central Mexico above ground biomass maps 2010 v5.0", "abstract": "This dataset contains the biomass maps for epoch 2: 2010 (GlobBiomass project reference year) for Yucatan peninsula and Central Mexico with a 30m spatial resolution. \r\n\r\nThe dataset contains 4 raster files corresponding to 2 areas in Mexico; the Yucatan Peninsula AGB-MEX_Yucatan2010_v5.tif, AGB_MEX_Yucatan2010_QA_v5.tif, Central Mexico, AGBMEX_Central2010_v5.tif and AGB_MEX_Central2010_QA_v5.tif. \r\n\r\nThe maps show aboveground woody biomass in Mexican forests and were generated by combining the probabilistic outputs. from a Maximum Entropy (MaxEnt) algorithm. Field inventory plots (CONAFOR, INFyS) were used in combination with SAR (JAXA ALOS PALSAR) and optical data (NASA Landsat 7), as well as a digital elevation model (NASA SRTM).,An empirical linear regression model with AGB as dependant variable (Ln-transformed) and SAR backscatter intensity (DN values) of the HV polarization as the independent variable was fitted to estimate AGB over mangrove and other wetland vegetation\r\n\r\nFurther information can be found in the documnetation section and in a read me file archived with the data" }, { "ob_id": 39500, "uuid": "a35f1fba6c1b43579f6ea9f7c0d00314", "short_code": "ob", "title": "TCOM-N2O: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric nitrous oxide profile dataset (1991-2021) constructed using machine-learning", "abstract": "This dataset contains daily zonal stratospheric nitrous oxide profile outputs between 1991-2021 simulated by the TOMCAT model.\r\n\r\nThe TOMCAT simulation is performed at T64L32 resolution that is similar to the one used in Dhomse et al., (2021, 2022) for 1991-2021 time period. Model profile are sample at ACE-FTS (2004-present) measurement collocation, so that model output is at the nearest lat/lon and time. Then collocated N2O profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Corrections for overlapping latitude are averaged to ensure that mean correction terms do not have sharp edges\r\n\r\nInitially, differences are calculated for each zonal bins for 51 height levels (10km to 60km). Then separate XGBoost regression models are trained for the N2O differences between TOMCAT and measurements at each level for a given latitude bin. Same model is used for all day/night time (2 X11323 days) TOMCAT output sampled at 1.30 am and 1.30 pm local time at the equator. Bias corrections for a given model grid are calculated using XGBoost and are added to the original TOMCAT day and night time profiles. Height resolved data are then interpolated on 28-pressure levels (300 - 0.1hPa). For overlapping latitude bins, we use averages and then calculate daily zonal mean values. For more details see associated presentation on Zenodo.\r\n\r\nDataset also includes two files containing daily mean zonal mean N2O profiles on height (15-60 km) and pressure (300-0.1 hPa) levels:\r\n\r\nzmn2o_TCOM_hlev_T2Dz_1991_2021.nc – height level data (15 to 60 km)\r\nzmn2o_TCOM_plev_T2Dz_1991_2021.nc – pressure level data (300 to 0.1 hPa)\r\n\r\nNote that there is no observational constrain for 1991-2003 time period, hence correction terms assume that there are no significant discontinuities in ERA5 reanalysis fields that are used drive TOMCAT transport." }, { "ob_id": 32752, "uuid": "ad7de4e3b3b34cc0adca86c68e94d3a1", "short_code": "ob", "title": "NCEO Analysis Ready Data", "abstract": "This project will create Analysis Ready Data for the whole of UK with data source from Sentinel 2 and Landsat 8 over 2017-2019. The output dataset will be surface reflectance with uncertainty quantifications and higher-level biophysical parameter retrieval will also be conducted" }, { "ob_id": 27331, "uuid": "5cc5789f790f40548164f68714bd1205", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data;Ghana Western Region Anakasa Conservation Area (Plot ANK-01), March 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in GhanaWestern Region\tAnakasa Conservation Area. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 11655, "uuid": "01ec9f27539c4be481a4bfc83bfb7fdc", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2007", "abstract": "Continuous GPS measurements during 2007 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." }, { "ob_id": 26850, "uuid": "c4f160a450f540f4bacb57b4bf2f4697", "short_code": "ob", "title": "Coastal Zone Colour Scanner (CZCS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "The Coastal Zone Colour Scanner (CZCS) was a multi-channel scanning radiometer aboard the US Nimbus 7 satellite. Nimbus 7 was launched 24 October 1978, and CZCS became operational on 2 November 1978. It was only designed to operate for one year (as a proof-of-concept), but in fact remained in service until 22 June 1986. Its operation on board the Nimbus 7 was limited to alternate days as it shared its power with the passive microwave scanning multi channel microwave radiometer.\r\n\r\nCZCS measured reflected solar energy in six channels, at a resolution of 800 meters. These measurements were used to map chlorophyll concentration in water, sediment distribution, salinity, and the temperature of coastal waters and ocean currents.\r\n\r\nThe data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive." }, { "ob_id": 27328, "uuid": "02db52fec47541cf93e9bac62d80bfd2", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot OKO-01), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant, Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 41238, "uuid": "57821b58804945deaf4cdde278563ec2", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rsut 1hrCM), v20231221", "abstract": "This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument. \r\n\r\nThis is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products.\r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output." }, { "ob_id": 32117, "uuid": "88224a922439441fa6644b4564dcd90c", "short_code": "ob", "title": "Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model.", "abstract": "This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section." }, { "ob_id": 7788, "uuid": "0784ab9487dd4e1e478f892251740a25", "short_code": "ob", "title": "(A)ATSR Validation Campaign - ISAR SST Data", "abstract": "The Infrared Sea surface temperature Autonomous (ISAR) measured the skin sea surface temperature for the (A)ATSR Validation Campaign. The ISAR was on-board MV Pride of Bilbao measured the skin sea surface temperature between Portsmouth, UK and Bilbao, Spain from 2004 to 2010. As MV Pride of Bilbao went out of service on mid-late 2010, the instrument was moved to MV Cap Finistere which travelled between Portsmouth, UK and Bilbao, Spain or Santander, Spain. The instrument was on-board the new platform between 2010 and 2012." }, { "ob_id": 20102, "uuid": "e7abb935751a465981c6155593ba6dd3", "short_code": "ob", "title": "CARDOMOM 2001 - 2010 global carbon model data", "abstract": "The CARbon DAta MOdel fraMework (CARDAMOM; Bloom et al., 2015 in review) outputs are derived from a global 1-degree x 1-degree 2001-2010 model-data fusion (MDF) analysis. The data include allocation fractions (AF) residence times (RT), mean carbon pool stocks (CP) and fluxes (FL). The Data Assimilation Linked Ecosystem Carbon model version 2 (DALEC2) and the Markov Chain Monte Carlo MDF algorithm are described by Bloom & Williams (2015); the fire module is described by Bloom et al., (2015; in review). Data constraints used in the CARDAMOM analysis consist of MODIS leaf area index (LAI), Harmonised World Soil Database (HWSD; Hiederer & Kochy, 2012) and tropical biomass (Saatchi et al., 2011). For each 1-degree x 1-degree gridcell, the metrics (e.g. mean, median, etc.) are based on 4000 DALEC2 model parameter samples unique to that grid-cell. " }, { "ob_id": 14505, "uuid": "dfb561aba8b944d487096333eae419ed", "short_code": "ob", "title": "UTLS-Ozone SLIMCAT: Leeds University Three dimensional chemistry transport model (CTM) measurements Version 2", "abstract": "The SLIMCAT Reference Atmosphere for UTLS-Ozone was a set of example output from the SLIMCAT three-dimensional chemical transport model (CTM). It includes three-dimensional global fields of chemical (and sometimes meteorological) variables as computed for twelve dates in 1997, near the middle of each month.\r\n\r\nThis data set includes 12 files, each of them corresponding to one output time near the middle of each month of Year 1997 (12 Jan, 11 Feb, 13 Mar, 12 Apr, 12 May, 11 Jun, 11 Jul, 10 Aug, 19 Sept, 19 Oct, 18 Nov, 18 Dec). Each file contains the calculated 3-D distribution of 37 chemical species or families and 6 meteorological variables. The model used is the SLIMCAT chemistry transport model (CTM). The model was run from October 1991 and forced by the UK Met Office analyses. The model used 18 isentropic levels. The vertical coordinate in the data files is the globally averaged altitude. The real lat/lon-dependent altitude is given in the ALT field recorded in the files. The THETA field gives the real model theta levels (which are constant with latitude/longitude).\r\n\r\nData from Martyn Chipperfield, University of Leeds. NERC Research Programme UTLS-Ozone (Upper Troposphere and Lower Stratosphere) and National Centre for Earth Observation (NCEO)." }, { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob", "title": "GloboLakes: Lake Surface Water Temperature (LSWT) v4.0 (1995-2016)", "abstract": "Global Observatory of Lake Responses to Environmental Change (GloboLakes) was a project funded by the Natural Environment Research Council (NERC) with the following grant references: NE/J023345/2, NE/J02211X/1, NE/J023396/1, NE/J021717/1 and NE/J022810/1. \r\n\r\nThis dataset contains the GloboLakes LSWT v4.0 of daily observations of Lake Surface Water Temperature (LSWT), its uncertainty and quality levels. The LSWTs are obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) on MetOpA, AATSR (Advanced Along Track Scanning Radiometer) on Envisat and ATSR-2 (Along Track Scanning Radiometer) on ERS-2 (European Remote Sensing Satellite). The temperatures from the different instruments have been derived with the same algorithm and harmonised to insure consistency for the period 1995-2016. The GloboLakes LSWT v4.0 was produced by the University of Reading in 2018 for long term observations of surface water temperature for about 1000 lakes globally.\r\n\r\nThe dataset consist of two sets of files: 1) a single file per day on a 0.05° regular latitude- longitude grid covering the period from June 1995 to December 2016 (folder = daily), 2) a file per lake which contains the time series (daily) of the lake on a 0.05° regular grid (folder = per-lake). The list of the GloboLakes lakes is included as a CSV file and it contains name, GLWD identifier, coordinate of the lake centre and a set of coordinates that can be used to locate the lake in the daily-file dataset. The LSWTs consists of the daily observations of the temperature of the water (skin temperature). Uncertainty estimates and quality levels are provided for each value." }, { "ob_id": 32702, "uuid": "12eae5e708e541f390898af4187a1c20", "short_code": "ob", "title": "Global Ocean Lagrangian Trajectories based on AVISO velocities, v2.1", "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans the year 2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information.\r\n\r\nVersion 2.1 has the same resolution as version V2.0 but has double value for time variables to permit access via THREDDS" }, { "ob_id": 8016, "uuid": "a44cd6735b7046e13da2ca0bec33c7a9", "short_code": "ob", "title": "ARC: Level 3 daily sea surface temperature data v1.1.1", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.\r\n\r\nThis dataset contains version 1.1.1 of the Level 3 sea surface temperature data product produced by the ARC project team.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade." }, { "ob_id": 33410, "uuid": "299b1bb28eaa440f9a36e9786adfe398", "short_code": "ob", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v4.2 dataset), version 2", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home) \r\n\r\nThis version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'.\r\n\r\nA related product based on the Ocean Colour Climate Change Initiative v5.0 data is also available (see the link in the related records section)." }, { "ob_id": 41445, "uuid": "9b856433535146828a515b1125bc8a07", "short_code": "ob", "title": "BICEP/NCEO: Marine Phytoplankton Carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 31793, "uuid": "1d70803fab8f46ba983b730ede52421f", "short_code": "ob", "title": "Gridded daily Agricultural Burning Emission Inventory of Eastern China, 2012 - 2015, V0.0", "abstract": "The Gridded daily Agricultural Burning Emission Inventory of Eastern China dataset contains a unique high Spatio-temporal resolution agricultural burning inventory for eastern China for the years 2012-2015. \r\n\r\nThe data was generated using twice daily fire radiative power (FRP) observations from the ‘small fire optimised’ VIIRS-IM FRP product, and combined with fire diurnal cycle information taken from the geostationary Himawari-8 satellite.\r\n\r\nThis dataset was designed to fully take into account small fires well below the MODIS burned area or active fire detection limit, focusing on dry matter burned (DMB) and emissions of CO2, CO, PM2.5 and black carbon. The fuel for these fires is waste straw and other agricultural residues. Information from a crop rotation map to classify the type of agricultural residue being burned at each observed location and time, in addition to an agricultural area land map was also incorporated in consideration of this." }, { "ob_id": 11649, "uuid": "e854c16047bb4b27a2d650b6f9602e94", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2002", "abstract": "Continuous GPS measurements during 2002 have been made at the Neapoli station (NEAP), in Greece, (35.26135623 latitude, 25.61037051 longitude) to monitor tectonic movement across the Eastern Mediterranean (Greece) by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets." }, { "ob_id": 27309, "uuid": "d24ec272fc8e41b18e0eccc9a1b55c3d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27256, "uuid": "0e2faf925c404a4fb817b17a6508cf99", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (Plot MNG-04), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27294, "uuid": "7ad3d55c11614b49988bec9bee12d4bd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (MNG-03), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27352, "uuid": "0e84e3b2ab694046a81c118ed29eff48", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-06), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Floodplain, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 39323, "uuid": "edd6991e06024f7d9ee06460ec7cd7f6", "short_code": "ob", "title": "Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v3.0)", "abstract": "Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2 and Level 3 S-polarised SIF. The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS ( Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. For each GOSAT sounding, the S-polarised spectra have been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm. For more information on the retrieval setup and bias correction, please see \"Novel Methods for Atmospheric Carbon Dioxide Retrieval from the JAXA GOSAT and NASA OCO-2 Satellites - Part II: Remote Sensing of Chlorophyll Fluorescence\" by Peter Somkuti." }, { "ob_id": 27334, "uuid": "12d06294616a434db1756d36f06b01dc", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-12), February 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27342, "uuid": "8065f8dc04144a85bbdc7357c723801f", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-30), March 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: White Sand, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27319, "uuid": "f835f111f045429d9301061a34dcbc37", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park Plot OKO-02), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant , Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 10847, "uuid": "62eff59ecc759f7c1b2eaf22a8a96b51", "short_code": "ob", "title": "Fire Radiative Power from MSG SEVIRI data", "abstract": "This dataset contains Fire Radiative Power (FRP) data over Africa from Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) data. Fires are detected by applying Roberts and Wooster's (2008) detection algorithm to SEVIRI data. FRP is estimated using the Middle InfraRed (MIR) radiance method (Wooster et al., 2003). The dataset was produced by Gareth Roberts and Martin Wooster (National Centre for Earth Observation (NCEO), Kings College London)." }, { "ob_id": 19251, "uuid": "dab8097c2e354a86b75741e808e1f8eb", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 1.1", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 1.1 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. " }, { "ob_id": 27212, "uuid": "b93d491bee374c29a46d0a16049fb65e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-B), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 8317, "uuid": "64cf17e945673500cb439fa3da68e105", "short_code": "ob", "title": "(A)ATSR Validation Campaign - SISTeR SST Data from MS Prinsesse Ragnhild", "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR (Scanning Infrared Sea surface Temperature Radiometer). To ensure the accuracy of the (A)ATSR, there have been joint efforts to validate the measurement data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). This dataset contains the SST data of the North Sea measured by the SISTeR on-board MS Prinsesse Ragnhild during her voyages in 2008 ." }, { "ob_id": 33223, "uuid": "14fc02a823c142a49adb3194a0f0d1f6", "short_code": "ob", "title": "NCEO Particulate Organic Carbon estimates from quality-controlled BGC-Argo data (2010-06-01 to 2021-09-22), V1.0", "abstract": "This is an in-situ dataset of estimates of particulate organic carbon (POC) based on all the current (2021-09-22) profiles of optical backscattering (BBP) collected by (BGC)Biogeochemical-Argo floats. The dataset spans from 2010-06-01 to 2021-09-22 and covers the upper 2000 dbars of the water column (continuous profiles have been binned in 41 vertical bins). The dataset was produced by first devising a new set of automatic tests to quality control the large BBP dataset available (>31M records over >130k profiles). The QCed BBP was then converted into POC using an empirical algorithm (average of the POC: BBP slopes of Cetinic et al., 2012)" }, { "ob_id": 32597, "uuid": "c7aa24fb8d5c458daefdf0f4410ba830", "short_code": "ob", "title": "NCEO Manaus plots AGB map 2014 v1.0", "abstract": "The NCEO Manaus plots Above Ground Biomass (AGB) map 2014 v1.0 shows above ground woody biomass in plot sites around the city of Manaus in the state of Amazonas, Brazil. The data supports characterization of carbon stocks and dynamics at the national level, which is critical for countries engaging in climate change mitigation and adaptation strategies. \r\n\r\nThe data consists of AGB for 22 plot sites in the dbf data file. The file is accompanied by shape and metadata files (sbx, shp, shx and prj files) containing plot location information enabling display in GIS applications such as QGIS." }, { "ob_id": 32170, "uuid": "656204c257144708a641507c78187aaa", "short_code": "ob", "title": "Filter pack and cascade impactor samples of gas and aerosol particulate matter on the Island of Hawai'i (2018, 2019)", "abstract": "This dataset reports chemical speciation of airborne gas and aerosol particulate matter (PM) sampled in various locations on the Island of Hawai'i in 2018 and 2019. The 2018 samples were collected during a large eruption of Kilauea volcano. The 2019 samples were collected during a period of very low volcanic activity. \r\n\r\nSamples were collected in several locations on the Island of Hawai'i, Hawaii, USA. \r\n\r\nTime-series samples were collected at \r\n-Leilani Estates\r\n-Volcano village\r\n-Pahala, Ocean View \r\n-Kailua-Kona\r\n-Mauna Loa Observatory in 2018 and 2019. \r\n\r\nPoint-source samples were collected at the following locations \r\n-The main erupting vent 'Fissure 8' on the Kilauea Volcano in 2018, and repeated in its vicinity post-eruption in 2019\r\n- The lava ocean entry point in 2018 and repeated in its vicinity post-eruption in 2019. \r\n\r\nThe samples were collected using filter packs (FP) and Sioutas cascade impactors (SKC). The instruments were used at ground-level in all cases except for samples FP_08_1, FP_ 09_1, FP_09_2, SKC_08 and SKC_09 which were attached to an Unoccupied Aircraft System (UAS) in order to safely access the erupting vent and the lava ocean entry. \r\n\r\nThe samples were then analysed using inductively-coupled plasma mass spectroscopy (ICP-MS), inductively-coupled plasma optical emission spectroscopy (ICP-OES) and ion chromatography (IC). Sample analysis was done at the University of Leeds, United Kingdom (2018 samples) and the University of Leeds and Open University, United Kingdom (2019 samples). The results are reported as concentration per volume of air sampled (µg/m^3) to 2 significant figures. This was done to \r\n- assess the dispersion of major and trace elements in a volcanic plume, and quantify their depletion rates from the source into the far-field (up to ~240 km downwind)\r\n- assess the impact of volcanic emissions on the composition of the local atmosphere.\r\n\r\nThe data were produced as a result of a collaborative project between the Universities of Leeds, Cambridge, Oxford (UK), Hawaiian Volcano Observatory of the United States Geological Survey, and the University of Hawai'i at Manoa (USA)." }, { "ob_id": 33272, "uuid": "b0cf5a39647e4036bd5351274c5daa5f", "short_code": "ob", "title": "Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016", "abstract": "The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section." }, { "ob_id": 31785, "uuid": "b9c80907bb37487fa1744f3c86f3e792", "short_code": "ob", "title": "NCEO LTSS: Global Ocean Lagrangian Trajectories, v1.0, 1998-2018 (OLTraj)", "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on surface velocities from an ocean reanalysis. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA package (6-hour time step) as described in Nencioli et al., 2018. Please see the documentation section below for further information." }, { "ob_id": 8322, "uuid": "b9f371df3a07cbb5944484cdc785a0a5", "short_code": "ob", "title": "(A)ATSR Validation Campaign - SISTeR SST Data from MS Color Festival", "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR (Scanning Infrared Sea surface Temperature Radiometer). To ensure the accuracy of the (A)ATSR, there have been joint efforts to validate the measurement data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). This dataset contains the SST between Oslo, Norway and Frederikshavn, Denmark measured by the SISTeR on-board MS Color Festival during her voyages in 2006." }, { "ob_id": 11653, "uuid": "eb07eeb27fa3421ca947e144f4a56ea7", "short_code": "ob", "title": "COMET: Continuous GPS measurements from the Aegean for 2005", "abstract": "Continuous GPS measurements during 2005 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. Updates will be provided to the archive as and when ready." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 130174, 130175, 141130, 141131, 141132, 141134, 141135, 143082, 141133, 130176 ], "onlineresource_set": [ 36935 ], "project_set": [] }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM).", "keywords": "NCEO", "publicationState": "published", "dataPublishedTime": "2021-02-17T16:06:45", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 44345, "uuid": "f61458fc1bfa4d3982b34b702eb96689", "short_code": "ob", "title": "Terrestrial LiDAR data for the multi-trophic impact of ash dieback project, Wytham Woods, July 2020 - July 2022", "abstract": "This dataset is comprised of raw data and rotation matrices captured with the NERC-funded Terrestrial Laser Scanner (TLS) instrument. Data was collected across 15 plots in Wytham Woods, UK, in leaf-on and -off conditions for 3 years. For 5 of the plots all ash trees were girdled to simulate death by the fungal pathogen Hymenoscyphus fraxineus ('ash dieback'), 5 of the plots were 'ash-control' where the dominant species were Fraxinus excelsior and the remaining 5 plots were non-ash dominant.\r\n\r\nTLS data was acquired on the four edges of the plot and the plot centre. For the summer 2020 and winter 2021 acquisitions the scanner was mounted on a pneumatic mast to capture data from different heights (2 m, 4 m, and 6 m), from summer 2021 onwards the scanner was mounted at a height of 2 m. The scanner was set to an angular step of 0.04 degrees. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory, all acquistions for the same plot were registered to the same coordinate system. For more information on TLS acquisition for this project see Wilkes et al. (2021) and more generally refer to Wilkes et al. (2017) which can be found in the documentation section." }, { "ob_id": 43929, "uuid": "1377e1c5100b4ceba84d077c4166b4ef", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Plot CBN-02, Malaysian Borneo, July 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CBN-02 is part of the Global Ecosystem Monitoring (GEM) and is located in the rainforests of Malaysian Borneo. Please note that this data is not registered and therefore there are no rotation matrices.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 27345, "uuid": "6312f1117b044e0288720f11a9fdd36d", "short_code": "ob", "title": "Weighing trees with lasers: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-11), March 2017", "abstract": "This dataset is comprised of raw and proceesed data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed on a plot site situated in Malaysia Sabah Kabili-Sepilok Forest Reserve on the 20th March 2017 . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Forrestry: Old-growth.\r\n\r\nThe aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 7944, "uuid": "1d1d1e4348d12d6d60bd259e477140ec", "short_code": "ob", "title": "NCAVEO: ARSF Specim AISA Eagle Level 1b data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, hyperspectral measurements were collected over the study area of Shrewsbury on 17th June 2006. The measurements were recorded using a Specim Airborne Hyperspectral Imaging Systems (AISA) Eagle sensor on board a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF). The Eagle is a 12 bit, pushbroom, hyperspectral sensor. It covers the visible and near infra-red spectrum 400 - 970nm, has a 1000 pixel swath width and a maximum spectral resolution of 2.9nm. This dataset compromises the level 1b data which was collected by the instrument. The data was collected between 10:40 am and 12:01 pm GMT. 8 flightlines of data were acquired: 7 flown in a NW-SE azimuth and one cross-cutting flightline (08), in a SW-NE direction. A link to the record page for the level 3a dataset and CASI-2 data collected during the flight are also available in linked documentation." }, { "ob_id": 32141, "uuid": "f30495d4425f46c489765a2f84dd6862", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 33275, "uuid": "6a6ccbb8ef2645308a60dc47e9b8b5fb", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nA spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).\r\n\r\nReferences:\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovač, Ž.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12,826. doi:10.3390/rs12050826" }, { "ob_id": 41440, "uuid": "a35041dacc534ceeb8f581296d2feb6b", "short_code": "ob", "title": "BICEP/NCEO: Marine phytoplankton carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020 ", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 40879, "uuid": "ff4b43475c9641cca1dad2c8be8dadaf", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-02, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens and Virginie Daelemans, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-10_OKO-02.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-02/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets" }, { "ob_id": 13304, "uuid": "c1d5e11760e94c85a738ff22c36ef4b9", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from AATSR, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 43635, "uuid": "844bd5c5bc9940d6b04cd35bd9c8b956", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data: Maliau Basin (MLA-01), July 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at Plot MLA-01 (Belian) is part of the Global Ecosystem Monitoring (GEM) network and is located in the rainforests of Malaysian Borneo.\r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degress for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 43940, "uuid": "a9d4d3398f49427ba214ca37f0782e68", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-01),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot NXV-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 40176, "uuid": "c3866a255e15470f9ed4a566ad0053ff", "short_code": "ob", "title": "BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) for between 1997-2021 at 9 km spatial resolution (derived from the Ocean Colour Climate Change Initiative version 5.0 dataset)", "abstract": "The BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) between 1997-2021 at 9km spatial resolution.\r\n\r\n\r\nParticulate inorganic carbon (PIC) data were generated using a random forest approach that incorporates the following key input variables: remote sensing reflectances (Rrs) at 560 and 665 nm, chlorophyll-a concentration, colour index, and maximum waterclass values. The Rrs(560), Rrs(665), and chlorophyll-a concentration data were obtained directly from the Ocean Colour Climate Change Initiative (OC-CCI) version 5.0. The colour index values were estimated using Mitchell et al. (2017) algorithm: Rrs(560) minus Rrs(665). The maximum waterclass values were estimated using fourteen optical waterclasses obtained from the OC-CCI version 5.0. The PIC data are provided as netCDF files containing global, month PIC concentration at 9 km spatial resolution (1997-2021). For more details on the algorithm and its validation, please see the BICEP algorithm theoretical basline document (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v5.0 data is also available (see link in the related records section)." }, { "ob_id": 7840, "uuid": "86e6a1554abe156e982a9a0fc41c4b41", "short_code": "ob", "title": "NCAVEO: UK-DMC optical imaging satellite data", "abstract": "The DMC constellation of small satellites provided several images to support the 2006 Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Experiment. DMC is a unique sensor because of its combination of wide swath and high spatial resolution. The data was acquired from UK-DMC at 09:42:53 GMT on the 17th June and consists of three multispectral bands (green, red, near infra-red) with a nominal ground resolution of 32 m. The study area forms a very small part of the whole DMC image, which has a swath width of over 640 km. Other DMC data were obtained from satellites in the constellation operated by Algeria and Nigeria. The NigeriaSat-1 and UKDMC images were taken around the time of the campaign and the AlSAT image a month later. These files have not been geometrically referenced and vary in quality and amount of cloud cover. " }, { "ob_id": 30592, "uuid": "88c2bc7af4f0402d8ceecad611c58cc5", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 13310, "uuid": "57b63f8d9e6f478aaf8cd35e7a6f1f44", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from ATSR2 (SU algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 25930, "uuid": "56f81895cb094bd8a1638aa12d6c7499", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCFP (UoL-FP) algorithm (CH4_GOS_OCFP), version 2.1", "abstract": "The CH4_GOS_OCFP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the University of Leicester Full-Physics Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version is version 2.1 and forms part of the Climate Research Data Package 4.\r\n\r\nThe University of Leicester Full-Physics Retrieval Algorithm is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and has been modified for use on GOSAT spectra. A second GOSAT CH4 product, generated using the SRFP algorithm, is also available.\r\n\r\nThe XCH4 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG)." }, { "ob_id": 25363, "uuid": "584d4028633a4b7e9fa36da72dbd91c7", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27526, "uuid": "373638ed9c434e78b521cbe01ace5ef7", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 7907, "uuid": "d5c7fb0cc068775323519f8358dd73f8", "short_code": "ob", "title": "NCAVEO: Hemispherical photos taken using a Camera Nikon Coolpix 995 at Fairpiece field, near Chilbolton", "abstract": "A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the 19 upward-looking photos taken at Fairpiece field on the 15th June 2006. " }, { "ob_id": 29902, "uuid": "ce294d36cc5d4117a9a2a5f998bdd2e8", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Hainich fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Hainich forested hill chain in the state of Thuringia in Germany and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 19114, "uuid": "59f3a38819e140b49ffe46f32176709e", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.21", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from AATSR, using the Swansea University (SU) algorithm, version 4.21. \r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 7995, "uuid": "8c05f529402fc0fbbb57bbc01c5641c8", "short_code": "ob", "title": "NCAVEO: NERC Field Spectroscopy Facility (FSF) Soil Reflectance data collected using an ASD FieldSpec Pro at Brockley field, near Chilbolton", "abstract": "Spectra measurements were collected for a patch of bare soil at the northern corner of Brockley field, near Chilbolton, to establish the field's typical soil background reflectance. The measurements were recorded on the 18th June 2006 as part of the Network for Calibration and Validation of Earth Observation (NCAVEO) 2006 Field Campaign. An ASD Fieldspec Pro Instrument (FR Unit No. 6408, NCAVEO Code N4406), owned by Newcastle University, was used with an 8° FOV foreoptic. All measurements were collected using a 1.5m extension probe from a height of ~1.35 metres above the ground, with the foreoptic positioned approximately 1.5m from the tramline, in a vertical plane unless stated otherwise. At each pair of coloured flags 11 sets of panel/target measurements were taken at approximately 1 metre intervals moving from left [01] to right [11] facing from the tramline towards the crop. 30 samples were averaged per data point. Times recorded are UTC (GPS time). " }, { "ob_id": 27349, "uuid": "d616ea0a4bcc4b36a3f2b01a5d2077a9", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-02), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27681, "uuid": "39909dc233b34118a80dd6fa8a7af553", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (SU algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 daily and monthly aerosol products from the ATSR-2 instrument on the ERS-2 satellite, using the Swansea University (SU) algorithm, version 4.3. Data cover the period 1995 - 2003.\r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 7978, "uuid": "d1880f3e928c223596160940f9b14582", "short_code": "ob", "title": "NCAVEO: Multi-angle sky spectra collected using a sky irradiance scanner", "abstract": "This dataset compromises measurements of the angular distribution of spectral sky radiance (400-1000nm), collected as part of the Network for Calibration and Validation of Earth Observation (NCAVEO) 2006 Field Campaign. Measurements were taken at frequent intervals on the 17th June 2006 using a new instrument designed by Andrew McGonigle. The instrument is based on a temperature-stabilised miniature spectroradiometer interfaced to a telescope that can be programmed to make zenithal scans of sky irradiance. Azimuthal motion of the whole instrument was provided by manual adjustment. A sampling interval of 18° in zenith and 30° in azimuth was used. All data were collected when the spectrometer was thermally stabilised to the same temperature (approximately 7.5°C).\r\n\r\nEach sample of the sky irradiance distribution comprised two scans: one of the whole sky, and then a\r\nsecond low-gain scan shortly afterwards, concentrating just on the region around the Sun. Scans were repeated twice, with different integration times to allow for the extreme differences in brightness of the Sun and the sky. For further information and details on the structure of the files see the dataset's metadata PDF in linked documentation. " }, { "ob_id": 39484, "uuid": "7498da3969884bb9a2c7bac20bf5c96d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Grove of Old Trees reserve California (Plot CALI-02), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-02 plot site was situated in the Grove of Old Trees, which is a 48-acre (19 ha) open space reserve woodland of mature coast redwood trees. The grove grows on a broad, flat ridgetop west of Occidental, California,\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27603, "uuid": "6ba14d86c5854cc083d45a54c0b8c67c", "short_code": "ob", "title": "FIDUCEO project AVHRR for HIRS to SLSTR gap period FCDR", "abstract": "FIDUCEO brings insights from metrology (measurement science) to the observation of Earth’s climate from space.\r\n\r\nNew versions of four key Fundamental Climate Data Records (FCDRs) will be created that include state-of-the-art information about observational uncertainty. We will demonstrate how to propagate that information to derived geophysical datasets — i.e., five important climate data records (CDRs) will be developed with traceable uncertainty and stability estimates." }, { "ob_id": 40858, "uuid": "5e78ff91e9cd4143bfa3b7358efd2607", "short_code": "ob", "title": "ForestScan: Tree census data (diameter and species name) of FBRMS-01: Paracou, French Guiana 1ha plot IRD-CNES, October 2021", "abstract": "This dataset consists of data collected during the October 2021 census. A few trees were also measured in January 2022 as they could not be accessed in 2021. The data collection includes treeID, position, DBH_cm (girth in cm), observations, POM_cm (Point of measurement) status, census, date, family, genus and species. Botanical identification was done by Julien Engel (IRD). Trees were positioned using TLS scan by Olivier Martin. This tree census was funded by CNES (France)." }, { "ob_id": 32607, "uuid": "9252ff9ddeb249a2bd8433e9ae9dfe13", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for global land areas, version 1.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. This version of the dataset provides data globally over land. For further information on the dataset, please see the linked documentation.\r\n\r\nInitially this dataset contains two months of data (June and August 2017), delivered as part of the GHG_cci Climate Research Data Package 6. Additional time periods will be added in the future.\r\n\r\n\r\nThis data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO)." }, { "ob_id": 20088, "uuid": "e7419b5b877141dab0d283ba31e9d057", "short_code": "ob", "title": "EUSTACE: Global Lake Surface Water Temperature data from satellite instruments with uncertainties", "abstract": "This dataset consists of Lake Surface Water Temperature data with uncertainty estimates. The Lake Surface Water Temperature data were originally retrieved in the context of ?, but new uncertainty estimates have been added in the context of the EUSTACE project? \r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. In this context, satellite skin temperature for Land, Ocean, Lakes and Ice are being collated with consistent uncertainty information across all domains. This dataset provides the satellite Lake Surface Water Temperature data." }, { "ob_id": 39971, "uuid": "690fdf8f229c4d04a2aa68de67beb733", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products covering the period 1997 - 2022.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided." }, { "ob_id": 29921, "uuid": "d638387d907648b68fa8578907293d9a", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Romanian fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Romanian fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 32018, "uuid": "5e5da31f2ae047b997ddbbdd372d31cd", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Obs4MIPS monthly-averaged sea surface temperature data, v2.1", "abstract": "This dataset contains monthly 1 degree averages of sea surface temperature data in Obs4MIPS format, from the European Space Agency (ESA)'s Climate Change Initiatve (CCI) Sea Surface Temperature (SST) v2.1 analysis.\r\n\r\nThe data covers the period from 1981-2017, with the data from 1981 to 2016 coming from the Sea Surface Temperature (SST) project of the ESA CCI project. The data for 2017 were generated using the same approach but under funding from the Copernicus Climate Change Service (C3S).\r\n\r\nThis particular product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 26427, "uuid": "60476148c74148cb8cac1e47c501a178", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/" }, { "ob_id": 27677, "uuid": "b03b3887ad2f4d5481e7a39344239ab2", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the Swansea University (SU) algorithm, version 4.3. It covers the period from 2002 - 2012.\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 25377, "uuid": "159649796f2943689a836999016188f0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 13363, "uuid": "a70b70e7635342cdaa4451c17fd4bd87", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global ocean colour data products gridded on a sinusoidal projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a daily time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 10865, "uuid": "a756d6b2f2f4cdcba5e47eca7ea35e98", "short_code": "ob", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Barton Bendish, Norfolk, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Barton Bendish, Norfolk, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 27607, "uuid": "dd63f6f7239f4c1da830950c6e58cfdd", "short_code": "ob", "title": "FIDUCEO: Sea and Lake Surface Temperature Climate Data Record, V2.11, 2006 -2016", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Sea and Lake Surface Temperature Climate Data Record core retrieved quantity is the skin (radiometric) temperature of the Earth’s water surfaces (sea and large lakes). This is provided as a best estimate, plus an ensemble of 10 perturbations capturing known uncertainties. The CDR contains grid-cell instantaneous averagesof retrieved surface temperature over ice-free oceans and 300 large lakes.\r\n\r\n\r\nThe FIDUCEO Surface Temperature CDR differs from the ESA Sea Surface Temperature Climate Change Initiative CDRs ; which were generated using in the using the same cloud detection and SST retrieval methodology in the following points:\r\n\r\n- The calibration of the brightness temperatures used is revised for the FIDUCEO ST CDR. The first step in this has been multi-sensor harmonisation to obtain baseline calibration coefficients (Giering et al., 2019). For specific ST application, these coefficients were adjusted such that SSTs had lower bias, using a method of cross-referencing to matched drifting buoys (Merchant et al., 2019)\r\n- Perturbations to the obtained ST and quality level determination are provided for an ensemble of 10 members, for the purpose of propagating uncertainty in ST in complex (large scale, non-linear) applications.\r\n- The FIDUCEO ST CDR includes retrievals over the world’s 300 largest lakes, unlike the SST-only product. (Lakes, including much smaller lakes,are addressed in other CDRs requiring significantly different methodsto cope with the difficulties of small target water bodies.)\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 27682, "uuid": "a8b8191d62504acdb218d4767b446280", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (SU algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the Swansea University (SU) algorithm, version 4.3. Data are available for the period 1995-2003.\r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 26981, "uuid": "a8e9f44965434f3b861eba77688701ef", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of Microwave Brightness Temperatures with uncertainties, 1994 - 2017, v4.1", "abstract": "The FIDUCEO Microwave Fundamental Climate data record, v4.1, contains microwave brightness temperatures and uncertainties for series of satellite instruments (all mission years of SSMT2 on F11, F12, F14, F15; AMSU-B on NOAA15, NOAA16 and NOAA17; and MHS missions (NOAA18, NOAA19, MetopA,-B)). The presented FCDR is a long data record of increased consistency among the instruments compared to the operational data record and is a long enough data record to generate climate data records (CDRs) for climate research. The improvements are based on the strict application of the measurement equation as well as dedicated corrections and improvements within the calibration process. The data record contains quantified uncertainty components, respecting the correlation behaviour of underlying effects.\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation" }, { "ob_id": 7948, "uuid": "dc5ea1432109e9289998843260e69a4f", "short_code": "ob", "title": "NCAVEO: Hemispherical photos taken using a Camera Nikon Coolpix 995 at Harewood forest, near Chilbolton", "abstract": "A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the 18 photos taken at Fairpiece field on the 16th June 2006, most of which are upward-looking. " }, { "ob_id": 27355, "uuid": "1d745315475c4fe4a0d561c4a02e0acd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (TAM-01), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 19889, "uuid": "3ba980b6cfba4bb48a5fe9c4efdeffe9", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 33365, "uuid": "f1445bde2f1249c99bb5a59b71e9a9d7", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from ATSR-2 (Along-Track Scanning Radiometer 2), level 3 collated (L3C) global product (1995-2013), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Along-Track Scanning Radiometer (ATSR-2) on European Remote-sensing Satellite 2 (ERS-2). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and nighttime temperatures are provided in separate files corresponding to the morning and evening ERS-2 equator crossing times which are 10:30 and 22:30 local solar time. \r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length.\r\n\r\nAlso provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is near global over the land surface. Small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. ATSR-2 achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 22nd June 2003. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 7848, "uuid": "3d966add9811374d81fc46d4dee2cfdc", "short_code": "ob", "title": "NCAVEO: Project for On-Board Autonomy (PROBA) Compact High Resolution Imaging Spectrometer (CHRIS) data collected over Chilbolton", "abstract": "This dataset compromises data collected by the Compact High Resolution Imaging Spectrometer (CHRIS) over Chilbolton, 17th June 2006, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data were collected in Mode 1, which has 34 metre pixel size and 62 spectral bands between 411 nm and 997 nm, giving a ground resolution of 34 metres. \r\n\r\nSurrey Satellite Technology Ltd is the owner of all data directly resulting from in-flight operation of the CHRIS instrument flown on- board the ESA PROBA spacecraft. All publications on the CHRIS instrument or data obtained from the CHRIS development and/or operation should therefore make explicit reference to Surrey Satellite Technology Ltd, the CHRIS instrument and the ESA PROBA mission. The L3b Directory contains data created by Ted Milton from the L1b, after having been destriped and registered to the OS grid.\r\n\r\nFor more information on the structure and format of the data please see the associated metadata PDF for the dataset in linked documentation. " }, { "ob_id": 12862, "uuid": "130450cdf1034235aa2a5107dc513d81", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CO2 Level 2 Data Product (CO2_GOS_OCFP) version 5.2, generated with the OCFP (UoL-FP) algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project, the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). The University of Leicester Full-Physics Retrieval Algorithm has been applied to the TANSO-FTS data, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product has also been generated from the data using the SRFP algorithm, and the link to this product's record page is provided in the documentation section. \r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) in the documentation section or the Algorithm Theoretical Basis Document for version 5.1 of the product (no ATBD is yet available for version 5.2)." }, { "ob_id": 27599, "uuid": "67b206b17365444b8243182f04c8ba44", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) with metrologically-traceable uncertainty estimates, 1998 - 2016, v1.0", "abstract": "This Fundamental Climate Data Record (FDCR) of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) AVHRR/1, AVHRR/2 andAVHRR/3 with metrologically-traceable uncertainty estimates. Error covariance information is also provided.In this data set , in addition to relative reflectance for channels 1, 2 and 3A( when available) together with estimated independent, common and structured uncertainties are also provided.\r\n\r\nThe FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project AVHRR FCDR improves on existing AVHRR level-1B data (such as that processed by NOAA or EUMETSAT): the calibration has been improved with a measurement function approach such that the data is of better quality (noise has been reduced, outliers have been filtered) the metrologically traceable uncertainties have been derived together with their associated effects cross-channel correlations and long-term correlation structures have now been calculated from the processed data and are being understood and used to improve data quality and consistency all the sensors are calibrated to a common reference (AATSR series).The products have been harmonised across the satellite series using Simultaneous (Nadir) Overpasses (SNOs).\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 10877, "uuid": "6fe5d63251ee88bac88359a79aa76435", "short_code": "ob", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Thorney Island, South Coast of England, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 30231, "uuid": "a963d9415bb74247830f8704f825aa90", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): GHRSST Multi-Product ensemble (GMPE), v2.0", "abstract": "The European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci) has accurately determined the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified sea surface temperatures (SSTs) to a quality suitable for climate research. This GHRSST (Group for High Resolution Sea Surface Temperature) Multi-Product Ensemble (GMPE) dataset was produced by the ESA SST_cci project to facilitate comparison of its own spatially complete analyses with other level 4 SST analysis products. It provides the median and standard deviation of the ensemble of input analyses, differences between the individual analyses and the median, and gradients in the input data and the median. The outputs are provided on a 0.25˚ regular latitude-longitude grid. The product extends from 1 September 1981 to 31 December 2016.\r\n\r\nThe product was generated using the following inputs: ESA SST_cci Analysis version 2.0; ESA SST_cci Analysis version 1.1; E.U. Copernicus Marine Environment Monitoring Service (CMEMS) SST information (the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Reprocessing); National Centers for Environmental Information (NCEI) Advanced Very High Resolution Radiometer (AVHRR) Optimal Interpolation (OI) Global Blended SST Analysis; Canada Meteorological Center (CMC) 0.2-degree Global Foundation SST Analysis; Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) Analysis version 2.2.0.0 (10 realisations); Japan Meteorological Agency (JMA) Merged satellite and in-situ Data Global Daily SST (MGDSST) Analysis. Full details of the data used to generate this product are provided in the associated documentation." }, { "ob_id": 32146, "uuid": "de75072edfca44bfaaec0ed171d86bde", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 20095, "uuid": "f883e197594f4fbaae6edebafb3fddb3", "short_code": "ob", "title": "EUSTACE: Globally gridded clear-sky daily air temperature estimates from satellites with uncertainty estimates for land, ocean and ice, 1995-2016", "abstract": "This dataset consists of gloabl surface air temperature estimates derived from satellite surface skin temperature measurements, with uncertainties provided. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.\r\n\r\n The global surface air temperatures are provided separately for areas over land, sea and ice. These surface air temperatures have been derived from satellite skin temperatures using relationships between air and skin temperatures for each surface derived as part of the EUSTACE project. The air temperatures and uncertainty information are presented in a consistent format." }, { "ob_id": 14585, "uuid": "f94a00d0282d4bd1b3a7dd07777c874d", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CH4 Full Physics Level 2 Data Product, version 1.0 (CH4_GOS_OCFP) generated with the OCFP (UoL-FP) algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the XCH4 GOS Full Physics product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). \r\n\r\nThis version of the full physics product (version 1.0) has been generated using the OCFP University of Leicester Full-Physics Methane Retrieval Algorithm, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra baseline algorithm. This algorithm has been designated as an 'alternative' algorithm for the GHG CCI full physics methane retrievals. A second product has also been generated from the TANSO-FTS data by applying the baseline GHG CCI full physics algorithm, the RemoTeC SRFP algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use the baseline product generated with the SRFP baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-FP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/" }, { "ob_id": 10874, "uuid": "3fe8082c812d88e0014d94c3a2d0a087", "short_code": "ob", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Monks Wood, Cambridgeshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Monks Wood, Cambridgeshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 27312, "uuid": "d903e5f48267499992d00b92574caa8e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-03), June 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominent, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 26425, "uuid": "a78d998cc9714e0bbd4276c0bdd87703", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the Along Track Scanning Radiometer (ATSR) series of satellite instruments. It covers the period between 11/1991 and 04/2012. This Level 3 Uncollated (L3U) product provides these SST data on a 0.05 regular latitude-longitude grid with a single orbit per file.\r\n \r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 2.0 product is a later version of the Long Term product v1.1. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 19118, "uuid": "411a1599c96e43659a8141749c277ef4", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from AATSR (ORAC algorithm), Version 3.02", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol products from AATSR, using the ORAC algorithm, version 3.02. Both daily and monthly gridded products are available\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 40876, "uuid": "40f0f38023ac40f6b40bbf96e4dc5258", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG8c4, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-09-26_FG8c4.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG8c4/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 30641, "uuid": "37e8a29d208d4a87ae4dbe1d16b2c0ef", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 39487, "uuid": "422a95d694bf4963854a2f0ab5d166d6", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Sea Ranch woods California (Plot CALI-07), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-07 plot site was situated in the Sea Ranch Woods near Sonoma California.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27800, "uuid": "846a55c8a91b43bba6f3b97aa3e776e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 29917, "uuid": "0075727fcd2844a38fc1f03907e0ec5d", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Northern Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Northern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 39967, "uuid": "3bdb21a4cd004e5f8cc148fea5f1d4e3", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. It is computed from the Ocean Colour CCI Version 6.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection)." }, { "ob_id": 7894, "uuid": "438e9986e8555bf0d79431a40e69c3a3", "short_code": "ob", "title": "NCAVEO: Newcastle University ASD Field spectra data collected using instrument N4406 at Fairpiece field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of Winter oats collected from Fairpiece field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. For information on the data's processing please see the metadata PDF in linked documentation. \r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates." }, { "ob_id": 13346, "uuid": "45278227a3804ab2a601fa2d3b1ec2fd", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 1.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a daily time resolution. Note, this dataset is also included in the 'All Products' dataset.\r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n" }, { "ob_id": 12984, "uuid": "6a81b77693c847929e0d31a6ce84a821", "short_code": "ob", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) merge - Version 1.0", "abstract": "ESA GlobAlbedo Broadband BRDF\r\n\r\n3.2.6 Merged BRDF Product\r\nAs output from the BBDR (Broadband Directional Reflectance) to BRDF processing chain, a final ‘merged’ BRDF product is generated. This product merges the two BRDF products for Snow/NoSnow pixels as described above into one product. The merged product serves as input for the final albedo retrieval as well as for the resampling and the mosaicking of the tile-based BRDF uncertainties into a global product." }, { "ob_id": 14563, "uuid": "3c098ba124a347678a00b0102bab9f0a", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CO2 Level 2 Data Product (CO2_GOS_OCFP) version 6.0, generated with the OCFP (UoL-FP) algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project, the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). The University of Leicester Full-Physics Retrieval Algorithm has been applied to the TANSO-FTS data, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the SRFP algorithm, is also available.\r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/" }, { "ob_id": 27203, "uuid": "d2e07c380e0448389db72dce786e5340", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-A), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 7885, "uuid": "8324d486e7d33bb9643c0d2c4fc5c1c6", "short_code": "ob", "title": "NCAVEO: Newcastle University ASD Field spectra N4406 data collected at Big Croft field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of oilseed rape collected from Big Croft field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. \r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates. " }, { "ob_id": 13337, "uuid": "47e646778ba44138846306789e3a3054", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Monthly global ocean colour data products gridded on a geographic projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a monthly time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)" }, { "ob_id": 37123, "uuid": "b54d5f1c08594879a05929ce09951c56", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage runs from December 2018 to December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 40855, "uuid": "b1cd34f6af7941a3b1429ac52a3f6b28", "short_code": "ob", "title": "ForestScan: Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot IRD-CNES, October 2021", "abstract": "Terrestrial laser scanning (TLS) was conducted in October 2021 by G. Vincent and J-L Smock (IRD) using a Riegl VZ-400. Scans were acquired at locations on a 10 m Cartesian grid. Capturing a complete sample of the scene at each location requires two scans (upright and tilted), owing to a 100° field of view. 249 scans in total were collected. The angular resolution between sequentially fired pulses was 0.04°, resulting in approximately 22.4 million emitted pulses per scan (i.e., 5.42 billion per ha). Up to four targets can be resolved per pulse, with a nominal ranging accuracy of 5 mm. The laser itself is characterised by a beam divergence of 0.35 mrad, and the diameter of the beam at emission is 7 mm (e.g., the diameter of the beam at a range of 50 m, would be 21 mm). The pulse repetition rate was 300 kHz, therefore, each scan took approximately 3 minutes to complete. To generate a plot-level point cloud from individual scans, all scans were co-registered and projected to a standard geographical coordinate system (epsg 2972). To this end, 5 identifiable targets with known X,Y,Z coordinates (plot corners + plot centre) were positioned using a total station.\r\n\r\nOnce co-registered using RiScanPro software, individual scans were exported in las extrabyte format (including deviation) using LidarFomartConverter v.1.2.(AMAP code based on RivLib). Reflectance range was set to -30dB to +5dB and stored in the Intensity field as a long integer. Echoes outside this reflectance range were discarded. Coordinate precisions were set to 0.001 m. The full point cloud (all 249 scans) was then cropped to 1.4 ha plot (+10m buffer around 100x100m plot), and tiled per 20 x 20m (no buffer). Cropping and tiling were done with LAStools software. Scan position number was stored as flight line to allow selection of scans if needed. In particular, distant scans which contribute little more than noise could be deleted. LiDAR data were acquired without the “reflectance optimization filter”. In order to keep only returns with reflectance above -20dB (equivalent to setting reflectance optimization filter) all returns with Intensity below 18724 were dropped." }, { "ob_id": 7974, "uuid": "dae0e67b8f878bc03cefb59c4acac33b", "short_code": "ob", "title": "NCAVEO: Version 1 of ground data collected during Chilbolton reconnaissance survey for Land Cover Map 2007", "abstract": "As part of the Centre for Ecology and Hydrology Land Cover 2007 Pilot Project, a reconnaissance survey was undertaken on 12th May 2006 in a 60 x 60 km area (bounded by Ordnance Survey National Grid Reference X = 400000 to 460000, Y = 095000 to 155000) which included the Network for Calibration and Validation in Earth Observation (NCAVEO) test site. A recording tablet device was used for acquiring ground data for sample points in the defined area.\r\n\r\nThe dataset consists of an ESRI shape file of point data, containing all the points recorded on a tablet device. Each point has a British National Grid X and Y co-ordinate and a class code. The dataset has not been checked or edited yet and a few of the records will be erroneous. The most obvious errors will be two or more points with identical locations but different codes, the final code will be the correct one. Some of the points for Salisbury Plain lie just outside the test area boundaries. A key to abbreviations used for field recording is also included and a list of thematic land cover classes and their codes to aid field reconnaissance, as used for Land Cover Map 2000. " }, { "ob_id": 27358, "uuid": "4a82c176ca994889862c271cc784f040", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-09), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve . The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Terra Firma Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 13359, "uuid": "be3edba3aefd42ebbebea241a71d608e", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Monthly global ocean colour data products gridded on a sinusoidal projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a monthly time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 27315, "uuid": "89c664b7a86341bfa1b65c9fc5a0347d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-04), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 7868, "uuid": "6b150c9ce1fb1fcb48fc06f9cf5ff983", "short_code": "ob", "title": "NCAVEO: LANDSAT5 Thematic Mapper (TM) imagery of Chilbolton area", "abstract": "A satellite image taken by the LANDSAT 5 Thematic Mapper (TM) on the 12th June 1992 has been resized to the study area of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO) in Chilbolton. The image has been exported as geotiff using bands 4,5, and 3 as RGB. The image (source: MIMAS archive) was registered to the British National Grid using the Image to Map option in ENVI. The warping method adopted was a 2nd degree bilinear resampling and the cell size is 30m x 30m. A image from the Landsat 7 ETM+ has also been resized to the study area (see link to this data's record in linked documentation)." }, { "ob_id": 27676, "uuid": "d12fc40e4f254ce38303157fa460f01c", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (SU algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly aerosol products from the AATSR instrument on the ENVISAT satellite, using the Swansea University (SU) algorithm, version 4.3. Data is available for the period 2002 - 2012.\r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 10862, "uuid": "16a7a4410312b8859a5224a51d25aa39", "short_code": "ob", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Chilbolton, Hampshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Chilbolton, Hampshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 7964, "uuid": "3d3cdd14cc2a6e299eb975538301365a", "short_code": "ob", "title": "NCAVEO: Intergraph Z/I Imagery collected using a Digital Mapping Camera (DMC) during a flight by an Ordnance Survey aircraft at Chilbolton", "abstract": "As part of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO), an Intergraph Z/I Imaging Digital Mapping Camera (DMC) was used to collect data in 4 spectral bands in the visible and near infrared, at a nominal ground resolution of 65cm. The Chilbolton site was flown over on the 9th June 2006 by the Ordnance Survey, resulting in 84 strips captured over the Area of Interest (2048 x 3072) with 60% overlap along the track. The data was orthorectified to the British National Grid using photogrammetric methods.\r\n\r\n" }, { "ob_id": 26507, "uuid": "4b34a2c6890f4e518cacc88911193354", "short_code": "ob", "title": "EUSTACE: Coincident daily air temperature estimates and reference measurements, for validation, 1850-2015, v1.0", "abstract": "This dataset contains matched in situ reference and EUSTACE temperature estimates used in the validation of version 1.0 of the EUSTACE Globally gridded clear-sky daily air temperature estimates from satellites product and the version 1.0 EUSTACE Global daily air temperature product. The data are made available to allow traceability of the validation. This dataset has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nNote that due to the licensing conditions of some of the validation datasets this data is made available for non-commercial purposes only. Additionally some of the datasets used in validation of the ice data do not allow onward redistribution, so only the ocean and land data have been included in this dataset." }, { "ob_id": 27534, "uuid": "83e51cf29821434ea14db56c564946d5", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Climatology Data Record (CDR) consists of Level 4 daily climatology files gridded on a 0.05 degree grid. \r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . \r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 27447, "uuid": "aced40d7cb964f23a0fd3e85772f2d48", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude-longitude grid. It combines the orbit data from the Advanced High Resolution Radiometer (AVHRR) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 40864, "uuid": "61b7a51d72b54692890d45818307d72f", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Uncollated (L3U) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), presented on a 0.05° latitude-longitude grid, and spanning 2016 to 2021. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 7836, "uuid": "4cadb26104b16c9a8201f4510ce31d4c", "short_code": "ob", "title": "NCAVEO: Environment Agency CASI-3 data collected onboard an Environment Agency Cessna 404 Aircraft", "abstract": "This dataset compromises eight flight lines which were acquired on 17th June 2006 using an Itres Instruments Compact Airborne Spectrographic Imager (CASI-3) as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. The instrument was onboard a Cessna 404 aircraft operated by the UK Environment Agency (EA) and was operated in hyperspectral mode, with 32 spectral bands and a nominal ground resolution of 1m. The Environment Agency identified a possible spectral shift problem in the CASI-3 instrument during June 2006. The problem was corrected but it is still unknown how much the spectral shift occurred during data collection for NCAVEO. The document ‘CASI3 Wavelength correction for NCAVEO.pdf’ in further documentation provides further details. EasGeo software is also stored in the EasGeo folder in the directory as easgeo.sav, as well as documentation with further details on the data. " }, { "ob_id": 7982, "uuid": "4d140042a552972ed550f394098b426a", "short_code": "ob", "title": "NCAVEO: River channel survey data collected on the River Test at Chilbolton Cow Common", "abstract": "The Network for Calibration and Validation of EO data (NCAVEO) ground data collection programme included a series of transects on the River Test at Chilbolton Cow Common, an area of semi-natural wet grassland. The river survey was carried out on the 16th June between 11:15 and 13:15 at site Chilbolton 1 and 15:30-17:00 at Chilbolton 2, the day before the ‘golden day’ on which the airborne data were collected by the Environment Agency / Natural Environment Research Council (NERC).\r\n\r\nThe sampling strategy used was based on the desire to capture; (1) data over the range of water depths, (2) a dense and extensive sample of data to allow for bathymetric modelling of the river regions and (3) data over a broad range of substrate types to represent all varieties within the study region (e.g. from marginal vegetation to silts and to gravels). The variables recorded included: Easting; Northing; Water depth (cm); Depth to bed (cm); Surface velocity (m/s); Dominant substrate. Surface velocity was measured using a Valeport uni-directional electro-magnetic current meter (Valeport Ltd.). For more information on the collection and processing of the data please see the dataset's metadata document, in linked documentation. A video of David Spear describing the survey is available also included in the directory. " }, { "ob_id": 13355, "uuid": "5ce3092e823a403dad8122ff8ec93612", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a daily time resolution. It is computed from the Ocean Colour CCI Version 1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, this dataset is also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n" }, { "ob_id": 29915, "uuid": "4d3684dd0d1a4c87b7bec95ff33349e2", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Central Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Central Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 33368, "uuid": "58a01734f841466daa1837353aee5ff8", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 24th February 2000 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 30596, "uuid": "db32212d86f9431dae67076dd122565e", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 13305, "uuid": "1e3e5f0f0f53409b838e5dbfe99a3b01", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol daily products from AATSR (SU algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol daily products from AATSR, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 40861, "uuid": "c1d393f990fb4b6688b048222833d92f", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), presented on a 0.05° latitude-longitude grid, and spanning 1980 to 2021. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 20376, "uuid": "1ea3b2e391e4441daa57100a02b98691", "short_code": "ob", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): ATSR2-AASTR monthly gridded cloud properties, version 2.0", "abstract": "The Cloud_cci ATSR2-AATSR dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on ATSR2 and AATSR (onboard ERS2 and ENVISAT) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci ATSR2-AATSR dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures." }, { "ob_id": 40862, "uuid": "be418645dfa542df86165a7caad24284", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), daily collations on a 0.05° latitude-longitude grid, spanning 1980 to present, and separated into daytime and night-time files. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 12414, "uuid": "84d4f66b668241328df0c43f8f3b3e16", "short_code": "ob", "title": "GloboLakes: high-resolution global limnology dataset v1", "abstract": "These data are high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. This includes: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates on a high-resolution (1/360x1/360 degree) grid, produced by the Department of Meteorology at the University of Reading. Data was derived using the ESA CCI Land Cover Map (see linked documentation). \r\n\r\nDatasets containing information to locate and identify water bodies have been generated from high-resolution (1/360x1/360 degree, about 300mx300m) data locating static-water-bodies recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency. The new datasets provide: distance to land, distance to water, water body identifiers and lake centre locations. The lake identifiers (IDs) are from the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database. \r\n\r\nThe LC CCI water bodies dataset has been obtained from multi-temporal metrics based on time series of the backscattered intensity recorded by ASAR (Advanced Synthetic Aperture Radar) on Envisat between 2005 and 2010. Temporal change in water body extent is common. Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated.\r\n\r\nThe paper associated with this dataset is: \r\nL.Carrea O. Embury C.J. Merchant \"High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates\" Geoscience Data Journal, vol. 2 issue 2, pp. 83-97, November 2015. DOI: 10.1002/gdj3.32\r\n" }, { "ob_id": 27802, "uuid": "6f891faf986349f792043ebac64f7938", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 25370, "uuid": "edaa7e7324e849f683d3726088a0c7bd", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 11016, "uuid": "5a807d9ebb2d67b5472624e9639253a9", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Along-Track Scanning Radiometer (ATSR) level 3 uncollated data (L3U) long-term product version 1.1", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\nThe ESA SST CCI ATSR (Along-Track Scanning Radiometer) Long Term Product version 1.1 consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 04/2012. The L3U data product provides these SST data regridded onto a global longitude-latitude grid.\r\n\r\nThe version 1.1 data is an update to the version 1.0 dataset.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20" }, { "ob_id": 27346, "uuid": "275dd9bd0a9f42ff8b226c542b16a772", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-05), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Pre-Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 20086, "uuid": "0f1a958a130547febd40057f5ec1c837", "short_code": "ob", "title": "EUSTACE/GlobTemperature: Global clear-sky land surface temperature from MODIS Aqua on the satellite swath with estimates of uncertainty components, v2.1, 2002-2016", "abstract": "This dataset consists of Land Surface Temperature (LST) data with uncertainty estimates, from the MODIS instrument on NASA's Aqua satellite. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. \r\n\r\nThe Level 2 Land Surface Temperature data in this dataset has been retrieved from MODIS Collection 6 L1B calibrated radiances, in the context of the GlobTemperature project, but new uncertainty estimates have been added as part of the EUSTACE project. This version of the LST dataset is v2.1 of the GT_MYG_2P product, with earlier versions produced under the GlobTemperature project. It consists of a complete set of LST and accompanying auxiliary (AUX) datafiles for the MODIS-Aqua mission for the period from 2002 until 2016. An equivalent dataset is also available for MODIS-Terra." }, { "ob_id": 43850, "uuid": "edc03d280dab4549a23b8da869460b94", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (VCR-02),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot VCR-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 31969, "uuid": "69b2c9c6c4714517ba10dab3515e4ee6", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution. Data are provided in NetCDF format.\r\n\r\nPrimary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’\r\n(PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon\r\nExchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nReferences:\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovac, Z.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12, 826. doi:10.3390/rs12050826\r\n\r\nSathyendranath, S.; Platt, T.; Žarko K.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Nón, E.M.; Kulk, G.; Bouman, H. Reconciling models of primary production and photoacclimation. Appl. Opt.\r\n2020a, 59, C100-C114. doi.org/10.1364/AO.386252." }, { "ob_id": 32143, "uuid": "8154e881452f49c1ba86982ed88b20f0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 13308, "uuid": "696aa71b351842a1b6a65d1f930c2600", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol monthly products from AATSR (SU algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from AATSR, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 32142, "uuid": "e2f9d8f61a02431997361a8827eaf558", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 40619, "uuid": "dc11996a68c446abb342e917efdaac30", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology Climate Data Record, version 2.2", "abstract": "This v2.2 SST_cci Climatology Data Record (CDR) consists of daily climatological mean sea surface temperature on a global 0.05 degree latitude-longitude grid, derived from the SST CCI analysis data for the period 1982 to 2010 (29 years). This climatology includes the post-hoc dust corrections from Merchant and Embury (2020) https://doi.org/10.3390/rs12162554.\r\n\r\nThe changes from climatology v2.1 are:\r\n* Inclusion of post-hoc dust corrections from Merchant and Embury (2020) reduces biases in affected regions (tropical Atlantic Ocean and the Mediterranean, Red, and Arabian Seas).\r\n* Improved compliance with CF Conventions.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . \r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. (2019) Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223. http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 7876, "uuid": "913397583d98501279927de52c815631", "short_code": "ob", "title": "NCAVEO: NERC Field Spectroscopy Facility (FSF) Fabric Calibration Site Reflectance data collected at Chilbolton using an ASD FieldSpec Pro", "abstract": "This dataset consists of the reflectance spectra which was collected on the 16th-17th June 2006 from three artificial targets deployed at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Experiment. The reflectance data were acquired using an ASD FieldSpec Pro fitted with a contact probe. For further details on each of the data files please see the dataset's metadata document in linked documentation. " }, { "ob_id": 25379, "uuid": "915d2340b178494f987a6942e263a2eb", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 11006, "uuid": "916986a220e6bad55411d9407ade347c", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20\r\n\r\nPlease note that this dataset has now been superseded by the version 1.1 product, available from http://catalogue.ceda.ac.uk/uuid/c65ce27928f34ebd92224c451c2a8bed" }, { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SST's to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 7881, "uuid": "91a111ab2ac48432f816d1a5b39e0ad8", "short_code": "ob", "title": "Data from FSF Erbium doped Spectralon panel and Mylar and McCrone Filters at NERC Field Spectroscopy Facility (FSF) for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "The Network for Calibration (cal) and Validation (val) of Earth Observation data NCAVEO organised a cal-val field experiment at Chilbolton in June 2006. The aim is to undertake a validation exercise based on the protocols and methods developed by the Validation of LAnd European Remote sensing \nInstruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community." }, { "ob_id": 7923, "uuid": "09e5a226db8df3dd0ddb83ee45b967cb", "short_code": "ob", "title": "NCAVEO: Leaf Area Index measurements collected using a Delta-T SunScan at the Brockley, Rickyard and Fairpiece field sites near Chilbolton", "abstract": "Leaf Area Index (LAI) measurements were collected using a Delta-T SunScan as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. Data were collected from the following experiment fields: Rickyard (winter wheat), Fairpiece (winter oats) and Brockley (spring barley). The parameters required by the SunData program were set as follows:\r\n • Leaf Angle Distribution Parameter = 1.0\r\n • Leaf Absorption Parameter = 0.85\r\n\r\nFive sample points were located within tramlines in each field and their position determined using dGPS. Five 10 metre long transects were set-up, centred on each of these points and marked with coloured flags, marking the longitudinal extent of each Elementary Sampling Unit (ESU). The ‘width’ of the area sampled within the crop was determined by the reach of the instrument, around 1 metre. The geographic co-ordinates in the data file have been calculated to allow for the offset of sample measurements from the tramlines, and these should be taken as the definitive locations of the individual samples. SunScan measurements were made every metre along a 30 m transect, the central 10 m length of which coincided with the area between the coloured flags. Each of the extended ESUs was sampled in the same order in each field: Red, Green, Blue, Yellow, White flag, following a path along the tramlines shown in Figure 1. This gave a total of 165 LAI measurements per field. The geographic co-ordinates of each measurement were recorded and represented alongside the measured variables. \r\n\r\nFor further details see the dataset's metadata document in linked documentation. " }, { "ob_id": 25882, "uuid": "4f4159c6251d49bdbab07fea1e6ffbdb", "short_code": "ob", "title": "GERB-1: Level 2b averaged rectified geolocated radiance and flux data (L2barg)", "abstract": "This dataset contains Level 2b averaged rectified geolocated radiance and flux data (L2barg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB-1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2b ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW (short wave) and TOT (total) GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2b ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF)." }, { "ob_id": 13333, "uuid": "0f29b5f7ca774bd590a2ade5f94e9ddb", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global ocean colour data products gridded on a geographic projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a daily time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n" }, { "ob_id": 33364, "uuid": "1115d8946ba74c7f8a9fc3bfee5513a0", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Envisat equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. AATSR achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 25th July 2002 and ends on 8th April 2012. There is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 20096, "uuid": "4f9f712ec0e743ea81a1fde9c1f57514", "short_code": "ob", "title": "EUSTACE: Regionally-complete gridded daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2016", "abstract": "This dataset consists of a globally-complete daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources. Uncertainty estimates are provided with the data. \r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. This particular dataset has been infilled to provide a globally-complete analysis with an 'Ambitious' statistical infilling method..." }, { "ob_id": 27680, "uuid": "8b63d36f6f1e4efa8aea302b924bc46b", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. \r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 30588, "uuid": "aeae1a19608347f7b802691db6984343", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.2 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30055, "uuid": "326bf808aedd41fd85594fc06678d20a", "short_code": "ob", "title": "ESA Cloud Climate Change Initiative (Cloud_cci): ATSR2-AATSR monthly gridded cloud properties, version 3.0", "abstract": "The Cloud_cci ATSR2-AATSRv3 dataset (covering 1995-2012) was generated within the Cloud_cci project, which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. \r\n\r\nThis dataset is based on measurements from the ATSR2 and AATSR instruments (onboard the ERS2 and ENVISAT satellites) and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL; Sus et al., 2018; McGarragh et al., 2018) retrieval framework. The core cloud properties contained in the Cloud_cci ATSR2-AATSRv3 dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. The cloud properties are available at different processing levels: This particular dataset contains Level-3C (monthly averages and histograms) data, while Level-3U (globally gridded, unaveraged data fields) is also available as a separate dataset. Pixel-based uncertainty estimates come along with all properties and have been propagated into the Level-3C data. \r\n\r\nThe data in this dataset are a subset of the ATSR2-AATSR L3C / L3U cloud products version 3.0 dataset produced by the ESA Cloud_cci project available from https://dx.doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V003. \r\nTo cite the full dataset, please use the following citation: Poulsen, Caroline; McGarragh, Greg; Thomas, Gareth; Stengel, Martin; Christensen, Matthew; Povey, Adam; Proud, Simon; Carboni, Elisa; Hollmann, Rainer; Grainger, Don (2019): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci ATSR2-AATSR L3C/L3U CLD_PRODUCTS v3.0, Deutscher Wetterdienst (DWD) and Rutherford Appleton Laboratory (Dataset Producer), DOI:10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V003" }, { "ob_id": 3843, "uuid": "3240ab591b6d3c2ef5269b5b14afe4f3", "short_code": "ob", "title": "GERB-2: Level 2 averaged rectified geolocated radiance and flux data (L2arg)", "abstract": "This dataset contains Level 2 averaged rectified geolocated radiance and flux data (L2arg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013.\r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please also cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2 ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF)." }, { "ob_id": 40875, "uuid": "931973db09af41568853702efe135f29", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG6c2, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-18_FG6c2.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG6c2/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 27805, "uuid": "f56fe5c95e374c1fbaa73dcca8144787", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 33363, "uuid": "6babb8d9a8d247bcb3da6aed42f4b59a", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 7956, "uuid": "f5a94faab12bf906a4bc964a1e3c89f2", "short_code": "ob", "title": "NCAVEO: SPAD-502 chlorophyll meter data collected at Brockley field near Chilbolton", "abstract": "This dataset compromises chlorophyll data, which was collected using a Special Products Analysis Division (SPAD) 502 chorophyll meter, as part of the Network for Calibration and Validation of EO data 2006 Field Campaign. The estimates of chlorophyll amount were taken for the spring barley crop in Brockley field, near Chilbolton, this having been the only available field without seed heads and subsequently appropriate for measurements to be taken from. The numerical SPAD value is proportional to the amount of chlorophyll within the leaf, but a calibration equation for Spring Barley is required to convert these values into chlorophyll concentration. Each SPAD value in the file is an average of 10 values which were measured within 10 metres of the flag. " }, { "ob_id": 37611, "uuid": "98ca52a0bcf94fc98155b7e914aa22a0", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 1st January 2009 and ends on 31st December 2020. \r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 26982, "uuid": "2083b33b5c3d4cf0acb9a49226789caa", "short_code": "ob", "title": "FIDUCEO: Microwave Upper Troposheric Humidity and Uncertainties, Climate Data Record, 1994-2017, V1.2", "abstract": "The The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Upper Tropospheric Humidity (UTH) Climate Data Record version 1.2 dataset is derived from satellite brightness temperatures and uncertainties from the FIDUCEO Microwave Fundamental Climate Data Record (FCDR). The instantaneous observations from the FIDUCEO Microwave FCDR are used to derive a spatio-temporal averaged data record, which contains monthly mean UTH and brightness temperature mapped to a regular latitude/longitude grid covering the tropical region (-30° to 30° N), with a spatial resolution of 1° x 1°. It covers all mission years of the Special Senson Microwave for Temperature (SSMT2) instrument on the F11, F12, F14, F15 satellites, the Advanced Mircowave Sounding Unit (AMSU-B ) instrument on the NOAA 15-17 satellites and the Microwave Humidity Sounder (MHS) instruments on the NOAA18, NOAA19, MetopA, Metop-B satellites. \r\n\r\nFull documentation including product user guide, tutorials and relevant publications are available in the documentation" }, { "ob_id": 39961, "uuid": "8ecae26f390b4938b67a97cbce3ecd8b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. It is computed from the Ocean Colour CCI Version 6.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection)." }, { "ob_id": 40880, "uuid": "8ed3ddec76b8470285bdb2ea643f54bc", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-03, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens and Virginie Daelemans, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-07-04_OKO-03.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-03/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 7910, "uuid": "b5820b2b310d3e40a5ee1a2eb1f31ce0", "short_code": "ob", "title": "NCAVEO: Hemispherical photos taken using a Camera Nikon Coolpix 995 at Rickyard Field, near Chilbolton", "abstract": "A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, near Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the photos taken at Rickyard field (winter wheat) between the 15th and 17th June 2006. For further information on the photos taken on each day please see the associated metadata PDF in linked documentation. " }, { "ob_id": 13357, "uuid": "f7d1890865bb47b383a013cd9fede042", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global chlorophyll-a data products gridded on a sinusoidal projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 1.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a daily time resolution. Note, this dataset is also included in the 'All Products' dataset.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n" }, { "ob_id": 43949, "uuid": "1586484320b24ce887290468dafb8b28", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; branch scan projects from Australia, Brazil and Malaysia, June 2018 - July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Approximately 600 branches were harvested, had their leaves removed and were scanned in a controlled environment. More information can be found in Wilkes et al. 2021. Terrestrial laser scanning to reconstruct branch architecture from harvested branches in the documentation section. \r\n\r\nA RIEGL VZ-400 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH) was used for all scans. In all, 1–6 branches (dependent on branch size) were arranged in a group, orientated so that they would not touch each other or the ground, and scanned simultaneously. Branches were secured in the end of metal tubing and placed in buckets of sand to minimise movement. Fiducial markers (akin to QR codes) were placed on the floor to allow identification of each branch in post-processing. The markers include a pattern of four retroreflective stickers (10 mm ∅) which were used to co-register scans. Between four and six scan positions (collectively known as a project), located around the branches, were used to capture each set of branches. At each position, a single scan was performed where the scanner rotation axis was approximately perpendicular to the ground plane. A 100 degrees × 80 degrees field of view was captured at an angular resolution of 0.02 degrees ; each scan took 2:45 min where ∼20M laser pulses were fired. \r\n\r\nThe VZ-400 beam has an exit diameter of 0.007 m and a beam divergence of 0.35 mrad; branches were at a maximum distance of 5 m from the scanner, and at this distance maximum cross-sectional beam diameter is ∼0.01 m. The scanning area needed to be large enough to allow easy movement around the branches and minimum distance between the scanner and target (for the RIEGL VZ-400, this is 0.5 m). It should be noted, owing to the restricted scanning field of view, large or featureless areas required additional ‘features’ (e.g. furniture in the scanning field of view) to assist with registration. Initially, scanning was performed outside but it became clear that branch tips would oscillate even with very low wind speeds; therefore, scanning was moved to an indoor space. Co-registration of scans in a project is a two-step process (coarse- and fine-registration) that produces a 4 × 4 roto-transformation matrix for each scan position. When applied, a scan is rotated into a common, arbitrary coordinate system (nominally referenced to the first scan position). \r\n\r\nCo-registration of a project was done using RiSCAN Pro (version 2.5.1; RIEGL Laser Measurement Systems GmbH). Coarse registration was achieved using the retro-reflective stickers on the corners of the fiducial markers. Fine registration was computed using RiSCAN Pro’s Multi-Station Adjustment (MSA) method (RIEGL Laser Measurement Systems GmbH, 2019). MSA fits a set of planes to a point cloud by iteratively voxelising the point cloud, with each iteration voxel edge length decreases until plane fit error is below a specified threshold (or no plane is fit if voxel edge of minimum number of point thresholds are exceeded). Here voxel edge length decreased from 1.024 to 0.064 m, minimum points were 10 and maximum plane error was 0.006 m; this resulted in 7,000– 20,000 planes per scan position. MSA then uses a least square solution to iteratively adjust scan position to minimise positional error between overlapping planes." }, { "ob_id": 43029, "uuid": "8ea2c697ee53430a84825384bfdcf06a", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot LPG-01, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens, Virginie Daelemans and Löic Makaga, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-24_LPG-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/LPG-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from ATSR-2 (Along-Track Scanning Radiometer 2), level 3 collated (L3C) global product (1995-2013), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Along-Track Scanning Radiometer (ATSR-2) on European Remote-sensing Satellite 2 (ERS-2). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and nighttime temperatures are provided in separate files corresponding to the morning and evening ERS-2 equator crossing times which are 10:30 and 22:30 local solar time. \r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length.\r\n\r\nAlso provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is near global over the land surface. Small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. ATSR-2 achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 22nd June 2003. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33412, "uuid": "5006f2c553cd4f26a6af0af2ee6d7c94", "short_code": "ob", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset)", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section)." }, { "ob_id": 25278, "uuid": "bb6d82f8adbb49bf9f9b26a84a4c7c85", "short_code": "ob", "title": "GERB-1: Level 2 High resolution (L2hr) top of atmosphere radiance and flux data", "abstract": "The Geostationary Earth Radiation Budget (GERB-1) Level 2 High Resolution (L2HR) dataset contains accurate measurements of the Earth Radiation Budget. Broadband measurements of earth-leaving radiances are made from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at a time resolution of 15 minutes for the region 60E to 60W, 60N to 60S and area are ideal for studying fast variations in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. Time and pixel centres matched with METEOSAT imager SEVIRI.\r\n\r\nThe level 2 HR (High Resolution) data are resolution enhanced snapshots of the top of atmosphere radiances and fluxes every 15 minutes. They are provided at the product acquisition time of the METEOSAT narrowband SEVIRI imager on a fixed equal viewing angle grid matched to 3x3 SEVIRI pixel grid-boxes. This gives the HR product a temporal resolution of 15 minutes and a grid spacing of 9 km at the sub-satellite point. The time in the product name is the same as the SEVIRI product name time. Instantaneous accuracy at the HR scale is expected to be lower than for the lower spatial resolution GERB products as additional noise is introduced by the resolution enhancement, particularly for very inhomogeneous scenes and extreme angles. However, the HR product is recommended as the basis for users wishing to create custom averages over time and space and its production ensures that after appropriate averaging its accuracy is commensurate with the other GERB products\r\n\r\nThe GERB instrument was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The second GERB instrument, GERB-1, was onboard Meteosat Second Generation satellite, MSG-2, and covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945." }, { "ob_id": 19126, "uuid": "b6751acb59b242bfa33af689c4778abd", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from ATSR2 (ORAC algorithm), Version 3.02", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from ATSR-2, using the ORAC algorithm, version 3.02. \r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 20081, "uuid": "b70578ae62b745ec9dc2ba42d2ee1311", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 39965, "uuid": "90682bac7d0e4e418085f30eba43dfba", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 6.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Note, the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)" }, { "ob_id": 19886, "uuid": "aaf1d54282e94d5483356521f1b76434", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." }, { "ob_id": 30602, "uuid": "d6d0d7b4cf3540448b4ddcaed2f54b81", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 37125, "uuid": "32d7bc64c7b740e9ad7a43589ab91592", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe monthly dataset starts from March 2000 and ends December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 27798, "uuid": "fa199424852d49f4ba85afddd850eae6", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 39949, "uuid": "8b9d461f245b4efd8ea9fa080366e3b1", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection)." }, { "ob_id": 33366, "uuid": "330b7c922a37420fabb3425671d7d7c6", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 20092, "uuid": "81784e3642bd465aa69c7fd40ffe1b1b", "short_code": "ob", "title": "EUSTACE / ECA&D: European land station daily air temperature measurements, homogenised", "abstract": "This dataset consists of homogenised time series of daily temperature observations for meteorological stations throughout Europe and the Mediterranean. The version of the dataset described here is a homogenised version of the ECA&D (European Climate Assessment & Dataset) daily dataset, produced with funding from the EU Horizon2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThe data is available directly from the ECA&D website and is referenced here to form part of the EUSTACE collection of data. The EUSTACE version of the product is that labelled 'Homogenized ECA Dataset'. This dataset will continue to be updated by the ECA&D project beyond the end of EUSTACE.\r\n\r\nData is available for non-commercial purposes under the ECA&D terms and conditions (see https://www.ecad.eu//documents/ECAD_datapolicy.pdf).\r\n\r\nTo cite this dataset please use Squintu, AA, van der Schrier, G, Brugnara, Y, Klein Tank, A. \r\nHomogenization of daily temperature series in the European Climate Assessment & Dataset. /Int J Climatol/. 2019; 39: 1243– 1261. https://doi.org/10.1002/joc.5874\r\n\r\nThe EU EUSTACE project has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171." }, { "ob_id": 40175, "uuid": "372375fff81e44428ed62dacd562a5f2", "short_code": "ob", "title": "BICEP : Monthly global dissolved organic carbon (DOC), between 2010-2018 at 9km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This global dissolved organic carbon (DOC) dataset contains monthly DOC concentrations between 2010-2018 at 9km resolution. By using in-situ data set from Hansell et al. 2021 a random forest regression model for near surface ocean DOC is trained. The model uses Ocean colour Earth observation reflectance, primary production, SST, salinity and geographical information as predictors. The model has been used to produce monthly global marine DOC for years 2010-2019 using global monthly version of the predictors, namely Ocean Colour CCI , PP, Salinity CCI and SST. The work has been done as a part of ESA funded BICEP project (2020-2023).\r\n\r\nThe ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. This dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the chlorophyll-a data are also included in the 'All Products' dataset. This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 25373, "uuid": "806b30b9dc7f44e6bd56a46d8bccf279", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 43919, "uuid": "826c4184a49640659558eeb03f796414", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Curtain Fig (AEP-33), North Queensland, Australia, August 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot (AEP-33) Curtain Fig is part of the CSIRO Rainforest Permanent Plots of North Queensland (Graham et al. 2006)\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 7960, "uuid": "fd32c8a2bb63bc4e1601985858404032", "short_code": "ob", "title": "NCAVEO: Aerial Optical Thickness (AOT) data collected using a Cimel CE318-2™ sun photometer at Chilbolton", "abstract": "This dataset contains Aerosol Optical Thickness (AOT) data, collected at Chilbolton Facility for Atmospheric and Radio Research as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. Measurements were taken every 15 minutes using a Cimel CE318-2™ sun photometer, which is part of AERONET. For more information on the dataset please see the dataset's metadata file in linked documentation. " }, { "ob_id": 43410, "uuid": "ff217c783e3f4c66a4891d2b5807ee6e", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-30, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2). \r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-20.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-30/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 37121, "uuid": "2ac9a3e7bdeb41b58b226a2fa612a4a3", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Envisat equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. AATSR achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage for the monthly dataset starts from August 2002 and ends March 2012. There is a twelve day gap in the underlying data due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 43935, "uuid": "839eff8c0ef44c23840c1c13ebe78d17", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; SAFE project Plot SAF-05, Malaysian Borneo, June 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot SAF-05 is part of the Stability of Altered Forest Ecosystem (SAFE) Project located in the rainforests of Malaysian Borneo.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 43405, "uuid": "37b039605e9b4bb5a89371fd7f5b7ba1", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-11, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates\r\n.\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-14.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-11/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 27683, "uuid": "da2b8512312a4f14a928766f7f632d36", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on ENVISAT, derived using the ORAC algorithm, version 4.01. Both daily and monthly gridded products are available\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 25368, "uuid": "12d6f4bdabe144d7836b0807e65aa0e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27606, "uuid": "1326447659e34bc3ba8042041ca0546b", "short_code": "ob", "title": "FIDUCEO: Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth, V1.0, 2003 -2012", "abstract": "The Fidelity and uncertainty in climate data records from Earth Observations (FIDUCEO) projcet Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth (AOD) dataset covers Europe and North Africa over land. It was inferred from AVHRR/3 instruments on board the NOAA-16 and NOAA-18 satellites. \r\n\r\nThe dataset is provided on 3 processing levels: superpixels (L2B: 12x12 km2at nadir), gridded (1°x 1°) daily (L3 daily) and monthly (L3 monthly). The original lowest processing level (on selected dark field pixels) is not provided to users, but can be made available on request. The product contains the best AOD estimate but also a more detailed information on different aerosol types (most likely AOD value based on a multi-model ensemble climatology of the aerosol type and a 36 member ensemble of AOD values for a wide range of aerosol types spanning a realistic range in the atmosphere). A user can also process an application with all 36 ensemble members and then calculate the spread of the application results. Note that AOD values on the lowest processing level can be (slightly) negative reflecting radiometric calibration uncertaintiesand keeping un-cut AOD distributions.\r\n\r\nThe products contain on all levels sophisticated and detailed estimates of total AOD uncertainties propagated from the input L1B products and the retrieval algorithm through all levels of the processing chain. These total uncertainties can be directly used for data assimilation or to constrain a confidence interval around the AOD solutions. AOD uncertainties are also kept separated into the (relevant) different parts with different correlation structures, so that a user can conduct averaging and uncertainty propagation as suitable for the intended applications. Uncertainties also include separate values for the dominant effects (reflectance inversion, albedo estimation, aerosol type, cloud masking); also estimates of a sampling uncertainty (due to missing pixels from the cloud masking or from failed inversions) are contained.\r\n\r\nMore information including a report on the datset and scientific background is availible in the documentation section." }, { "ob_id": 13351, "uuid": "70be18893edb498785e22bed288cfd54", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global remote sensing reflectance gridded on a geographic projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a daily time resolution. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n" }, { "ob_id": 10859, "uuid": "13f0187f817470b20bcd90cbe9a58e63", "short_code": "ob", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Chilbolton, Hampshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Chilbolton, Hampshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 12799, "uuid": "714c110263864a82b3484c4351e120ca", "short_code": "ob", "title": "NCAVEO: ARSF Specim AISA Eagle Level 3a data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, hyperspectral measurements were collected over the study area of Shrewsbury on 17th June 2006. The measurements were recorded using a Specim Airborne Hyperspectral Imaging Systems (AISA) Eagle sensor on board a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF). The Eagle is a 12 bit, pushbroom, hyperspectral sensor. It covers the visible and near infra-red spectrum 400 - 970nm, has a 1000 pixel swath width and a maximum spectral resolution of 2.9nm. This dataset compromises the level 3a data which was collected by the instrument. The data was collected between 10:40 am and 12:01 pm GMT. 8 flightlines of data were acquired: 7 flown in a NW-SE azimuth and one cross-cutting flightline (08), in a SW-NE direction. A link to the record page for the level 1b dataset and CASI-2 data collected during the flight are also available in linked documentation." }, { "ob_id": 43970, "uuid": "b7e3f31474da4563a3ad4edbf26dca14", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, post-logging, February 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plot FGC-01 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 25375, "uuid": "b64b1a0ad7874fb39791e99c57b944bc", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 41444, "uuid": "bb21fcb130754f02b322e6662bba743b", "short_code": "ob", "title": "BICEP/NCEO: Marine phytoplankton carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 7970, "uuid": "16e747e3eaac76de08043d4c1b8d32da", "short_code": "ob", "title": "NCAVEO: Atmospheric water data profile version 1.0, collected using an UV Raman LiDAR at Chilbolton Facility for Atmospheric and Radio research", "abstract": "An atmospheric water vapour profile was recorded using a UV Raman LiDAR located at Chilbolton Facility for Atmospheric and Radio Research (CFARR), during the Network for Calibration and Validation of EO data (NCAVEO) 2006 Experiment. The profile was recorded on 16th June 2006, one day before the ‘golden day’. The ground-based Raman LiDAR system at the CFARR transmits a high power Nd:YAG pulse laser beam vertically into the atmosphere at 355 nm wavelength. The LiDAR measures both elastic backscattering and water vapour profiles in the troposphere. Inelastic scattering of the laser radiation by molecules in the atmosphere, termed Raman scattering, is used to determine the atmospheric water vapour and temperature profiles. This dataset contains data for the raw (20s/7.5m) and processed (5min/22.5m) data in separate files. For further information on the parameters used during the data collection and the data's file format please see the dataset's metadata document in linked documentation. " }, { "ob_id": 43408, "uuid": "bb81c82352524df99ddd411f6ca2ec81", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-12, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. \r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-02.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-12/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 27622, "uuid": "bbdfd09a04304158b366777eba0d2aeb", "short_code": "ob", "title": "High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Africa", "abstract": "This dataset consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM). \r\n\r\nThe SPEI dataset covers the whole of the African continent for a 36-year-long period (1981–2016) at a horizontal resolution of 5 km (0.05 deg) and a monthly time resolution. The dataset is provided in NetCDF format with in a Geographic Lat/Lon projection. Due to the lower reliability of SPEI over areas with low hydro-climatic variability, the areas with barren or sparsely vegetated areas in Africa were masked out based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface type product (MCD12Q1)." }, { "ob_id": 39959, "uuid": "024292dcda5d42ceb326850f89f8b40d", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 6.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 14150, "uuid": "4eb4e801424a47f7b77434291921f889", "short_code": "ob", "title": "ESA Ozone Climate Change Initiative (Ozone CCI): Level 3 Nadir Ozone Profile Merged Data Product, version 2", "abstract": "This dataset contains Level 3 nadir profile ozone data from the ESA Ozone Climate Change Initiative (CCI) project. The Level 3 data are monthly averages on a regular 3D grid derived from level 2 ozone profiles. In this version 2 of the dataset, data are available for 1997 and 2007 and 2008 only, and use data from the GOME instrument on ERS (1997) and the GOME-2 instrument on METOP-A (2007, 2008)." }, { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the year 2017, v1", "abstract": "This dataset comprises estimates of forest above-ground biomass for the year 2017. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) for the year 2017 (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset)\r\n\r\nThis release of the data is version 1, with data provided in both netcdf and geotiff format." }, { "ob_id": 19892, "uuid": "a897196a8e2b4c30ab8d22dbfe8f98c7", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 19858, "uuid": "bf6bfa8a6ae74b27b6e5497ea3d45307", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Zachariae Isstroem for 2015-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Zachariae Isstroem glacier in Greenland, derived from Sentinel-1 SAR data acquired between 25/1/2015 and 8/6/2016. It has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nData files are delivered in NetCDF format at 250m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity components are provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid." }, { "ob_id": 25282, "uuid": "029b11f4c46a472293bc401c4b5afdc7", "short_code": "ob", "title": "GERB-2: Level 2 High resolution (L2hr) top of atmosphere radiance and flux data", "abstract": "The Geostationary Earth Radiation Budget (GERB-2) Level 2 High Resolution (L2HR) dataset contains accurate measurements of the Earth Radiation Budget. Broadband measurements of earth-leaving radiances are made from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at a time resolution of 15 minutes for the region 60E to 60W, 60N to 60S and area are ideal for studying fast variations in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. Time and pixel centres matched with METEOSAT imager SEVIRI.\r\n\r\nThe level 2 HR (High Resolution) data are resolution enhanced snapshots of the top of atmosphere radiances and fluxes every 15 minutes. They are provided at the product acquisition time of the METEOSAT narrowband SEVIRI imager on a fixed equal viewing angle grid matched to 3x3 SEVIRI pixel grid-boxes. This gives the HR product a temporal resolution of 15 minutes and a grid spacing of 9 km at the sub-satellite point. The time in the product name is the same as the SEVIRI product name time. Instantaneous accuracy at the HR scale is expected to be lower than for the lower spatial resolution GERB products as additional noise is introduced by the resolution enhancement, particularly for very inhomogeneous scenes and extreme angles. However, the HR product is recommended as the basis for users wishing to create custom averages over time and space and its production ensures that after appropriate averaging its accuracy is commensurate with the other GERB products\r\n\r\nThe GERB instrument was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and covers the period March 2004 to May 2007. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945." }, { "ob_id": 26423, "uuid": "33592524dd9a4b2f897edbddb69b3381", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data, French Guiana, Cayenne, Nourague Nature Reserve plot site (NOU-11), November 2015", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in French Guiana, Cayenne, Nourague Nautre Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 29908, "uuid": "335ea0c5ed984f2ea5887ecf5d3e0993", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Viterbo fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Viterbo and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 37122, "uuid": "aa8268e2ca0e48d98aee372795722253", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 19883, "uuid": "7852b8af4bda446ab12290b7b106cc3c", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 40853, "uuid": "7bef89a9dc404683a46642625a024a4b", "short_code": "ob", "title": "ForestScan: Aerial Laser Scanning (ALS) of FBRMS-01: Paracou, French Guiana, November 2022", "abstract": "This Aerial Laser Scanning (ALS) campaign was conducted in November 2022. The ALS data corresponding to plots FG5c1, FG6c2, FG8c4 and IRD-CNES also scanned by Terrestrial LiDAR Scanning (TLS) in October or November 2022 as part of the ForestScan Project are provided in four separate laz files.\r\n\r\nThe covered area: 3*2.16 ha + 1*1.44 ha; Pulse density: ~200 m2; Scanner type: VQ 780II RIEGL; Scanner wavelength: 1064 nm; Beam divergence: <=0.25 mrad (1/e2); Vehicle: Airplane BN2; Operator: Altoa. Acquisition parameters: swath angle: +/-20 degrees; PRR (channel type): ~ 1000 kHz; Ground footprint size of pulse: ~0.16 m; Flight height: 650m terrain follow mode (AGL); Acquisition mode: Full waveform, RGB camera on board but no orthomosaïc made." }, { "ob_id": 30590, "uuid": "51fc11a9438b466db2ec8bd098efe7d5", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27519, "uuid": "2282b4aeb9f24bc3a1e0961e4d545427", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. The L3U products provide these SST data on a 0.05 regular latitude-longitude grid with with a single orbit per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 and the Long Term product v1.1. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 10880, "uuid": "7e53017332fd861f156c8280dc01f002", "short_code": "ob", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Thorney Island, South Coast of England, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 13342, "uuid": "22c0948d2c5b4f4dbf9606541a671274", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Yearly global ocean colour data products gridded on a geographic projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a yearly time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320." }, { "ob_id": 40863, "uuid": "f4151599eb7b491c9f4ce75489eb8b1e", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 2 Pre-processed (L2P) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), presented on the native geometry of observation, and spanning 2016 to 2021. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 13335, "uuid": "7f31695e4b6d4ff5af71ccae213c910b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): 8-day global ocean colour data products gridded on a geographic projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at an 8-day time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n" }, { "ob_id": 27602, "uuid": "0aacafffe6fc469398b2022fa20c6ef9", "short_code": "ob", "title": "FIDUCEO project AVHRR for AATSR to SLSTR gap period FCDR", "abstract": "FIDUCEO brings insights from metrology (measurement science) to the observation of Earth’s climate from space.\r\n\r\nNew versions of four key Fundamental Climate Data Records (FCDRs) will be created that include state-of-the-art information about observational uncertainty. We will demonstrate how to propagate that information to derived geophysical datasets — i.e., five important climate data records (CDRs) will be developed with traceable uncertainty and stability estimates." }, { "ob_id": 7856, "uuid": "7ebb759ae672ec0dfe5d45f20e3af96d", "short_code": "ob", "title": "NCAVEO: Level 1B ARSF Compact Airbone Spectrographic Imager 2 (CASI-2) data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF) collected CASI-2 data on 17th June 2006. The data was collected between 10:40 am and 12:01pm GMT over Chilbolton, the campaign's study area. The aircraft flew eight adjacent north-south flightlines to cover the whole area, and one east-west across the area, passing directly over the CFARR site. Information about data collection can be found in documentation file '168-GB06-10.pdf' in linked documentation.\r\n\r\nThis dataset holds the 8 Level 1b hdf files which have been produced, containing all relevant VGroup metadata, navigation and data to process the complete flightline using the azgcorr software package. See the \"read me\" document in linked documentation for the command lines for each flightline and further information on how to view the data. You will also require the ancillary file osgb02 for inclusion in the command line and a high resolution DSM (Digital Surface Model), such as provided by the Nextmap 5m DSM dataset. Level 3a CASI-2 files and data collected by the Eagle instrument during the flight are also available through their separate dataset record pages, listed in linked documentation. " }, { "ob_id": 19130, "uuid": "6609ab72c29d49a4b45223cd15104fdd", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from ATSR2 (SU algorithm), Version 4.21", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. Both daily and monthly gridded products are available.\r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 39969, "uuid": "86d360431f3b4184b89cdd1cd707bb33", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products) at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 6.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 43972, "uuid": "40b7bc2b97344de2955aea24a2703d4e", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-02), Gabon, pre-logging, August 2019", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-02 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 43974, "uuid": "d69d2c00013b474384df1dab9b9f61e9", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-02), Gabon, post-logging, January 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-02 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 27325, "uuid": "e06a9cc321b149c3b2ab878788f92798", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed , Forrestry: Secondry Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 25371, "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "short_code": "ob", "title": "EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1880-2015, v1.1", "abstract": "This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1880, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.1 of the EUSTACE global daily air temperature product. This is a shortened version compared to the v1.0 product, using an experimental version of the statistical model. \r\nThe data has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThis product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas.\r\n\r\nThis data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out." }, { "ob_id": 39481, "uuid": "23f8ccb87b5d41e7b739cacf9c2968b2", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; The Grove of Old Trees reserve California (Plot CALI-01), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. The CALI-01 plot site was situated in the Grove of Old Trees, which is a 48-acre (19 ha) open space reserve woodland of mature coast redwood trees. The grove grows on a broad, flat ridgetop west of Occidental, California,\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 34724, "uuid": "ddcad11fd71245d3b9d0e669b3fd9169", "short_code": "ob", "title": "Global dataset of co-incident TLS-derived and harvested tree biomass", "abstract": "This dataset contains aboveground biomass estimates generated using terrestrial laser scanning (TLS) techniques for different species of tree. It was used to produce the figures and statistics of the publication \"Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions\".\r\n\r\nThis dataset contains 391 entries. Each entry is a tree that was terrestrial laser scanned and consecutively harvested to assess its aboveground biomass (AGB). AGB was also obtained from allometric scaling equations. Several ancillary tree properties such as stem diameter, foliage conditions,... and scan metadata (type of scanner, pattern) are included. We refer to the tab 'headers' for an explanation and units of the respective columns. Elaborate method descriptions can be found in the publication or in the following publications, which can be found in the documentation sections" }, { "ob_id": 27799, "uuid": "8fd7c9c728104c209fd88604c2022f26", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 7987, "uuid": "8097295108f53bdc8242bb6c6f8f65f6", "short_code": "ob", "title": "NCAVEO: Concrete calibration site spectra collected at the Chilbolton Facility for Atmospheric and Radio Research (CFARR) using a GER3700 Spectroradiometer", "abstract": "Reflectance data were acquired from a fixed tripod near the north-east corner of a concrete calibration site at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. The data was collected on the 17th June 2006 using a single beam GER3700 spectroradiometer. The nominal field-of view of the instrument was 3°, and it was mounted 1 metre above the surface. " }, { "ob_id": 7991, "uuid": "ec54aec922960e88c3d044b3d1c49e77", "short_code": "ob", "title": "NCAVEO: GER1500 spectroradiometer asphalt reflectance spectra collected from the asphalt car park at the Chilbolton Facility for Atmospheric and Radio Research (CFARR)", "abstract": "An area of asphalt, approximately 3m by 3m in size, within the CFARR perimeter was used as a persistent validation target and frequent reflectance measurements made as part of the (Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The centre British National Grid co-ordinates of this validation target, which can be distinguished in the CASI images, are (BNG Easting, BNG Northing) 439335.00, 138586.00. A trolley-mounted GER1500 dual field-of-view spectroradiometer was used to measure the HCRF of the asphalt validation target between 10:54 and 11:38 GMT on the 17th June. \r\n" }, { "ob_id": 19884, "uuid": "b548475d0a5d4a2b8de40e7b1fa40d7a", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 2.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 38871, "uuid": "ed9156e1697343e4ad82e83ed550e345", "short_code": "ob", "title": "Terrestrial laser scanning data Wytham Woods: leaf-off raw data 2015/16", "abstract": "This dataset is comprised of terrestrial laser scanning (TLS) data collected at the Wytham Woods, Oxfordshire during the winter period of 2015/16 when leaves were off the deciduous trees. The data underpins the study into laser scanning potential underestimation of biomass carbon in a temperate forest.\r\n\r\nTLS data were collected on a 20 m x 20 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. Scan data were coregistered using the RiSCAN Pro software package, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory" }, { "ob_id": 7941, "uuid": "41a8097a36a2c26b316952bbec60b695", "short_code": "ob", "title": "NCAVEO: Microtops II sun photometer data from the Cowdown Farm, Hampshire Golf club and Chilbolton Observatory field sites, Hampshire, UK", "abstract": "Sunphotometer data was collected on 17th June 2006 using three identical Microtops II instruments, as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 field experiment. The instruments were operated at three locations near Chilbolton: the roof of Chilbolton Facility for Atmospheric and Radio Research's (CFARR) main building, the Hampshire Golf Club and Cowdown Farm. \r\n\r\nOn using the three instruments together on the roof of the CFARR main building, results showed differences between the three instruments, with data from s/n 8407 being closest to that measured by the Cimel sunphotometer at the same location. Note that the date of s/n 8407 was set incorrectly to 2005, but has been corrected in the NASA Ames formatted file. This should not affect the data collected. The same instrument also did not record the water vapour amount, so this is shown as -999.0 in the data file. On the ‘golden day’, 17th June 2006, measurements were made with all three instruments every five minutes between 09:30 and 11:30 GMT. Sporadic measurements were also made at earlier and later times. The s/n 8407 did not make a reading at 11.15 as anticipated. A large number of parameters and calibration constants were used to achieve these readings and are included alongside the main data. For further information please refer to the Microtops II User’s Guide." }, { "ob_id": 29919, "uuid": "41b281acc6f2404a88232e5c0ef12009", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Southern Somalia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Southern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27803, "uuid": "eef36ac7c892491aa862097e79827f68", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 33370, "uuid": "ef8ce37b6af24469a2a4bdc31d3db27d", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2), the Advanced Along-Track Scanning Radiometer (AATSR) and the Sea and Land Surface Temperature Radiometer on Sentinel 3A (SLSTRA); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra) to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from August 1995 to July 2002; AATSR from August 2002 to March 2012; MODIS Terra from April 2012 to July 2016; and SLSTRA from August 2016 to December 2020. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 31st December 2020. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. \r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 27687, "uuid": "d2ed0c005761475d92ca444666156c4a", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the ATSR-2 instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. The data covers the period from 1995 - 2003.\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 11697, "uuid": "e0659b01259145c8bfb0de6eb12c2690", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): GHRSST Multi-Product ensemble (GMPE)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\n\r\nThe GHRSST Multi-Product Ensemble (GMPE) dataset is an ensemble median of the ESA SST CCI spatially complete analysis with other level 4 SST analysis products. Anomalies of the analyses relative to the median, and the ensemble standard deviation are also provided.\r\n\r\nAll the data in the GMPE files are regridded onto a common 0.25 degree regular latitude longitude grid and there are\r\nSST fields for each day. The GMPE for the ESA SST CCI long term product covers the period September 1991 to December\r\n2010. GMPE files are also available for ESA SST CCI demonstration product 1 (which covers June to August 2007)." }, { "ob_id": 27528, "uuid": "42f7230ab55641cdac1bba84eabd446a", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) level 3 uncollated data (L3U) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L3U product provides these SST data on a 0.05 regular latitude-longitude grid with with a single orbit per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 19120, "uuid": "c41e248db8d74e22be25ce6b79e04bb6", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 3.02", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from AATSR, using the ORAC algorithm, version 3.02. \r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 30604, "uuid": "07eeca6888c645d89a7ef91de0290eca", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 32137, "uuid": "5ab5267b17254152bcdbc055747faa02", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 11014, "uuid": "2608443849391d2513d903482a19f206", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Along-Track Scanning Radiometer (ATSR) level 3 uncollated data (L3U) long-term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\nThe ESA SST CCI ATSR (Along-Track Scanning Radiometer) Long Term Product Version 1.0 consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 12/2010. The L3U data product provides these SST data regridded onto a global longitude-latitude grid.\r\n\r\nPlease note, the version 1.0 data described here has now been superseded by the version 1.1 data product as described in Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20" }, { "ob_id": 39942, "uuid": "a0782135bcd04d77a1dae4aa71fba47c", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 6.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection)." }, { "ob_id": 12983, "uuid": "4425b0c4e5b346008cd4b1a09b5b96e3", "short_code": "ob", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) inversion - Version 1.0", "abstract": "As output from the BBDR (Braodband Directional Reflectance) to BRDF processing chain, a BRDF product is generated. This product contains all BRDF model parameters as derived from the Globalbedo inversion algorithm. \r\n\r\nSpectral BRDF, is the fundamental description of surface reflectance, being the ratio of reflected spectral radiance (Wm-2sr-1nm-1) exiting around a direction vector Ω (relative to a surface normal vector) to the spectral irradiance (Wm-2nm-1) incident on the surface from direction Ω at some wavelength λ." }, { "ob_id": 43938, "uuid": "26bd74cc70c84bcea4e0726a3342d839", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-02),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot NXV-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 29906, "uuid": "26d87003a3684fb69713a4f1bb085861", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Slovenia fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Slovenia and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 43944, "uuid": "6bc486defec1422fbef729ff84cb3ff3", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-02),Brazil, August 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CRP-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 19888, "uuid": "a2cd1cefc5b84b86bbaa09bb3832e497", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27517, "uuid": "13b5cf97be4446428d3396723864e121", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period 08/1981 - 12/2016. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 13344, "uuid": "a526fdfb91954f1ab4360978e86f3b2b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global chlorophyll-a data products gridded on a geographic projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 1.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at a daily time resolution. Note, this dataset is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n" }, { "ob_id": 30594, "uuid": "5400de38636d43de9808bfc0b500e863", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27797, "uuid": "3200894e4add4049b31f8df132c0d664", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 20087, "uuid": "b8285969426a4e00b7481434291ad603", "short_code": "ob", "title": "EUSTACE / CCI: Global clear-sky sea surface temperature from the (A)ATSR series at 0.25 degrees with estimates of uncertainty components, v1.2, 1991-2012", "abstract": "This dataset consists of Sea Surface Temperature data with uncertainty estimates, from the Along Track Scanning Radiometer series of satellite instruments (ATSR-1, ATSR-2 and AATSR). It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publically available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nThe Sea Surface Temperature data provided here were retrieved in the context of the European Space Agency's (ESA's) Climate Change Initiative (CCI) Sea Surface Temperature (SST) project, and comprise a Level 3c gridded product, on a 0.25 degree grid. This v1.2 product was provided for input into the EUSTACE project. It is provided here for traceability; more recent CCI data is available from the SST CCI catalogue pages." }, { "ob_id": 40878, "uuid": "45ae3437f82f4e4fb75f9a5c26a194ba", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-01, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL postdoc Dr Phil Wilkes and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-04_OKO-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 33414, "uuid": "a6fc730d88fd4935b59d64903715d891", "short_code": "ob", "title": "BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset.\r\n\r\nExport production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption." }, { "ob_id": 27600, "uuid": "a6f20758d98c40b6b8d97357181d1175", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) with uncertainties, 1985 - 2016, v1.0", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Fundamental Climate Data Record of recalibrated brightness temperatures for the High-resolution Infrared Radiation Sounder (HIRS) contains recalibrated brightness temperatures for HIRS for all editions of HIRS/2, HIRS/2I, HIRS/3, and HIRS/4, with metrologically traceable uncertainty estimates. This version is harmonised and anchored to infrared atmospheric sounding interferometer IASI via MetopA satellite.\r\n\r\nIt contains 40 years worth of data covering the period period 1985-03-10 to 2016-12-31. Each file contains: Basic telemetry: longitude, latitude, time, satellite and solar angles; Brightness temperatures for channels1--19; Independent and structured uncertainty for channels 1--19; A lookup table to convert between radiances and brightness temperatures for channels 1—19; A channel error correlation matrix; Two bitfields indicating identified problems with the data. For any data field that varies across the channels (such as brightness temperatures and their uncertainties).\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation." }, { "ob_id": 25928, "uuid": "f9154243fd8744bdaf2a59c39033e659", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0", "abstract": "This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.) The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the data is v7.0 and forms part of the Climate Research Data Package 4.\r\n\r\nThis algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents." }, { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob", "title": "EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2015, v1.0", "abstract": "This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.0 of the product, which has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThis product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas.\r\n\r\nThis data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out." }, { "ob_id": 13312, "uuid": "54bff8b538ac441b80f3e35059f11f0f", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol daily products from ATSR2 (SU algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol daily products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 27522, "uuid": "5db2099606b94e63879d841c87e654ae", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 44526, "uuid": "aabf22e3dc1a4791bd3090756563b347", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-M), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 30598, "uuid": "aab98144131244f58ce1b56e7342ff3e", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.2 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 25381, "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 19136, "uuid": "ab9f7510268840ef9ec3e9692a0f129d", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from ATSR2 (SU algorithm), Version 4.21", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from ATSR-2, using the Swansea University (SU) algorithm, version 4.21. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 39947, "uuid": "474ac06235e54e6cb0ec6eed635e1213", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 6.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)" }, { "ob_id": 14556, "uuid": "4774bc5719754c44add5c6f209fc25ae", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CH4 Proxy Level 2 Data Product, (CH4_GOS_OCPR), version 6.0, generated with the OCPR (UoL-PR) algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the XCH4 GOS PR (Proxy) product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). \r\n\r\nThis version of the proxy product (version 6.0) has been generated using the OCPR University of Leicester Full-Physics Retrieval Algorithm, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra baseline algorithm. This algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/" }, { "ob_id": 40860, "uuid": "ec659b31a8ca40918e58ec6d03af07a6", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 2 Pre-processed (L2P) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), presented on the native geometry of observation, and spanning 1980 to 2021. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 19132, "uuid": "5673d414c1094d9ab16a7f106b1c6b36", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from ATSR2 (ORAC algorithm), Version 3.02", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol products from ATSR-2, using the ORAC algorithm, version 3.02. Both daily and monthly gridded products are available\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 27331, "uuid": "5cc5789f790f40548164f68714bd1205", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data;Ghana Western Region Anakasa Conservation Area (Plot ANK-01), March 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in GhanaWestern Region\tAnakasa Conservation Area. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 3850, "uuid": "7d7857860f1101eb4abdf3d707620123", "short_code": "ob", "title": "GERB-1: Level 2 averaged rectified geolocated radiance and flux data (L2arg)", "abstract": "This dataset contains Level 2 averaged rectified geolocated radiance and flux data (L2arg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2 ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).\r\n" }, { "ob_id": 27530, "uuid": "7db4459605da4665b6ab9a7102fb4875", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 33369, "uuid": "6775e27575124407afeebb4bb1dfaaf5", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 1st January 2009 and ends on 31st December 2020. \r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 37126, "uuid": "785ef9d3965442669bff899540747e28", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2), the Advanced Along-Track Scanning Radiometer (AATSR) and the Sea and Land Surface Temperature Radiometer on Sentinel 3A (SLSTRA); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra) to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from August 1995 to July 2002; AATSR from August 2002 to March 2012; MODIS Terra from April 2012 to July 2016; and SLSTRA from August 2016 to December 2020. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 31st December 2020. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. \r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 32138, "uuid": "016f577b631a429a8558796a74983154", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 19887, "uuid": "49bcb6f29c824ae49e41d2d3656f11be", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 2.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 20093, "uuid": "7925ded722d743fa8259a93acc7073f2", "short_code": "ob", "title": "EUSTACE: Global land station daily air temperature measurements with non-climatic discontinuities identified, for 1850-2015", "abstract": "This dataset consists of a global collection of land surface air temperature data from meteorological stations covering the period from 1850-2015. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.\r\n\r\nThe dataset provides daily maximum and minimum temperatures from stations globally, brought together from a number of public databases: Global Historical Climatology Network Daily Temperatures (GHCN-D); European Climate Assessment & Dataset (ECA&D) non-blended; International Surface Temperature Initiative (ISTI); DECADE (Data on Climate and Extreme weather for the Central Andes); and ERA-CLIM (European Reanalysis of Global Climate Observations). These data have then been quality controlled through the removal of duplicates and unreliable data sources, and come with a large amount of additional information on quality, homogeneity and resolution.\r\n\r\nThis data is available for non-commercial use." }, { "ob_id": 27515, "uuid": "79dd8e867b5a4bc28527118aae306095", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) Climate Data Record version 2.0", "abstract": "This v2.0 SST_cci Advanced Very High Resolution Radiometer (AVHRR) level 3 uncollated data (L3U) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 - 12/2016. This Level 3 Uncollated (L3U) product provides these SST data on a 0.05 regular latitude-longitude grid with a single orbit per file. \r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 37124, "uuid": "fe98aa1c666d42b9a2a0d19a72bb8a36", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00", "abstract": "This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 40866, "uuid": "4a9654136a7148e39b7feb56f8bb02d2", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis product, version 3.0", "abstract": "This dataset provides daily-mean sea surface temperatures (SST), presented on global 0.05° latitude-longitude grid, spanning 1980 to present. This is a Level 4 product, with gaps between available daily observations filled by statistical means.\r\n\r\nThe SST CCI Analysis product contains estimates of daily mean SST and sea ice concentration. Each SST value has an associated uncertainty estimate. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of dual-view SLSTR data from 2016 onwards \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\n* Inclusion of L2P passive microwave AMSR data \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40322, "uuid": "005f2e0aebc24ed98a9772a0ba3798e2", "short_code": "ob", "title": "ForestScan Project: Multiple Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data acquisitions of FBRMS-01: Paracou, French Guiana, plots 4, 5, 6, 8, IRD-CNES and Flux-Tower area, October 2019", "abstract": "This dataset contains complete merged point clouds (.laz) per acquisition flight, derived raster products in .tif georeferenced format, Digital surface models (.DSM), Canopy height models (.CHM) and Digital terrain models (.DTM). The data is from multiple drone flights over different plots in Paracou French Guiana. All products are the following projection EPSG:2972 RGFG95 and UTM (Universal Transverse Mercator) zone 22N. Different scanning scenarios should allow for sensitivity analyses with respect to:\r\n\r\n(i) scanning altitude (above the LiDAR (Light Detection and Ranging) derived DTM, either in terrain follow mode (AGL) or at constant altitude (AMSL)\r\n(ii) scanning pattern main orientation\r\n\r\nOver Plot 6 (P6): two different scan altitudes are available (80m AGL and 145m AMSL ~ 125 AGL), as well as different flight pattern main directions (75°, 345°, 120°, 165°)\r\n\r\nOver Plots 4 and 5 (P4 & P5): altitude = 110m AMSL ~ 90m AGL, flight directions = 345°\r\n\r\nOver PCNES & Tower: altitude = 105m AMSL ~ 80m AGL and 80m AGL, flight directions = 0° and 90° \r\n\r\nOver P8: altitude = 105m AMSL ~ 80m AGL, flight directions = 75° and 345° \r\n\r\nInformation on the individual drone flights and directory location can be found below in the following format: \r\n\r\nCountry\\Zone\\Pilot\\Scanner\\Date\\Flight\\Flight (delivery)\\Freq mirror rot (Hz)\\Interline(m)\\Direction (°)\\Speed(m/s)\\Alt(m) \r\ndirectory location- XX/XX\r\n\r\n\r\nFrench Guiana\\Paracou \\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-124006\\V1\\20\\20\\345\\5t80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\tYS-20191018-131043\\V2\\20\\20\\345\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V2\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-183057\\V3\\20\\20\\120\\t5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V3\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-185416\\V4\\20\\20\\120\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V4\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-190345\\V5\\20\\20\\75\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/ V5\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-200932\\V1\\20\\20\\165\\5\\145 amsl \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-115917\\V2\\20\\20\\75\\5\\145 amsl \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V2\r\n\r\nFrench Guiana\\Paracou\\P4&5\\NB\\VX20021\\19/10/2019\\YS-20191019-172347\\20\\50\\345\\5\\100 amsl \r\ndirectory location - CIRAD_Plot_4_5/\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-162557\\V1\\20\\50\\0\\5\\80 AGL \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V1\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-181021\\V2\\20\\50\\90\\5\\105 amsl \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V2\r\n\r\nFrench Guiana\\Paracou\\P8\\NB\\VX20021\\20/10/2019\\YS-20191020-113907\\20\\50\\75&345\\5\\105 amsl \r\ndirectory location - CIRAD_Plot_P8\r\n\r\nThe data was gathered to support the systematic collection and understanding of reference data for biomass product validation. The CEOS Good Practices Guideline can be found in the documentation section." }, { "ob_id": 27328, "uuid": "02db52fec47541cf93e9bac62d80bfd2", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot OKO-01), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant, Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 40868, "uuid": "7a4649cabd3e4afb8cd31cfd7d95ac8e", "short_code": "ob", "title": "ForestScan project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022", "abstract": "This dataset contains point cloud data (a set of data points in a 3D coordinate system) which were collected using a RIEGL miniVUX1-DL LiDAR scanner mounted on a DELAIR DT26X Unpiloted Aerial Vehicle (UAV). The data was collected in June 2022 as part of the ForestScan project. The person responsible for the data collection was Dr. Iain McNicol from the University of Edinburgh, who collected and processed the data." }, { "ob_id": 29904, "uuid": "d667a28f59664ecdba50fe97dd9d63c7", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Wytham Forest fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Wytham Forest in Oxfordshire, UK and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 7920, "uuid": "e157d540c4c8805cd3ca9786ff611959", "short_code": "ob", "title": "NCAVEO: Leaf Area Index measurements for the fields Brockley, Big Croft and Rickyard, near Chilbolton, recorded using INRA's LAI-2000 plant canopy analyser", "abstract": "Leaf Area Index (LAI) measurements were made in three fields near Chilbolton, as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. Measurements were carried out over 14-15 June 2006 in fields Brockley (spring barley), Big Croft (oil seed rape) and Rickyard (winter wheat), each of which were planted with different crop types. LAI measurements were made with the LAI2000 instrument loaned from INRA, France (Inst. Ref: N4431), including shadow cap (180 degrees) and measurement configuration: one top of canopy reading (reading A in files) followed by one bottom of canopy (reading B in files).\r\n\r\nWithin the main sensor the LAI2000 instrument has five separate silicon detectors arranged in concentric rings. When radiation is projected onto the detector each ring sees a different range of zenith angles, up to a maximum 74º field of view. There is no response at zenith angles between 74º and 90º. The sensor is filtered to respond only to radiation below 490nm to minimise the impact of leaf reflectance and transmittance on measured values. The outputs of the five detectors were measured simultaneously for each above or below canopy measurement. Five sample points were located within tramlines in each field and five 10 metre long transects were then set-up, centred on each of these points. 10 measurements were made at each flag. For further details regarding the data's collection and structure, please see the associated metadata document in linked documentation. " }, { "ob_id": 40851, "uuid": "325a4dde60d142049339e0c84816aac1", "short_code": "ob", "title": "ForestScan Project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) and Terrestrial Laser Scanning (TLS) data of FBRMS-01: Paracou, French Guiana plot 6, 10th October to 15th November 2019", "abstract": "This dataset contains LiDAR scanning derived products (raw scanner data, geo-located point clouds, individual 3D tree models) collected over the north-eastern part (200 m x 200 m) of FBRMS-01: Paracou, French Guiana plot 6. The campaign took place from the 10th of October to the 15th of November 2019. Terrestrial LiDAR Scanning (TLS) was conducted on a regular grid with spacing of 10 m with a RIEGL VZ-400 scanner and retro-reflective targets for scan registration. Unpiloted Aerial Vehicle Laser Scanning (UAV-LS) was conducted with a RIEGL Ricopter with VUX-SYS VUX-1UAV system with varying flight heights and flight directions.\r\n\r\nThe TLS point clouds were collected to produce explicit 3D models of individual trees and subsequently estimate their above-ground biomass (AGB). The UAV-LS point clouds were collected to test scanner settings and inspect point clouds properties, in particular with regard to their suitability to model individual trees and their AGB.\r\n\r\nThe campaign was conducted by researchers Benjamin Brede, Harm Bartholomeus and Alvaro Lau of the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University & Research (The Netherlands) with support from Nicolas Barbier of AMAP Lab (Botany and Modeling of Plant Architecture and Vegetation)." }, { "ob_id": 19116, "uuid": "5dd3881e89c8419bbdba4ab06aa91112", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from AATSR (SU algorithm), Version 4.21", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol products from AATSR, using the Swansea University (SU) algorithm, version 4.21. Both daily and monthly gridded products are available.\r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 7902, "uuid": "6e13f25526b43af50a0bcd76c04438e6", "short_code": "ob", "title": "NCAVEO: Sky conditions animation from Cowdown Farm, Hampshire, UK taken using a Hemispherical Camera Nikon Coolpix 995", "abstract": "This dataset consists of an animation of the sky conditions at Cowdown Farm, near Chilbolton, compiled from 40 photos taken over the ‘golden day’, 17th June 2006, as part of the Network for Calibration and Validation in Earth Observation 2006 experiment. A NIKON E995 camera was used with a resolution of 2048 x 1536." }, { "ob_id": 12795, "uuid": "db06f38c6f214ecb922fa452cb2dc4e2", "short_code": "ob", "title": "NCAVEO: ASD Field spectra N4406 data collected from Brockley field, near Chilbolton on the 18th June 2006", "abstract": "The reflectance spectra of the spring barley of field Brockley, near Chilbolton was collected as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. This dataset compromises the data which was collected on the 18th June. Measurements were also taken on the 15th at this location, the dataset record for which is available through linked documentation. Measurements were recorded using an ASD N4406 FieldSpec Pro, measurements having been taken at 5 flags within the field. After the exclusion of noisy bands, the spectra contains 1926 bands, covering the wavelengths 350-1354 nm, 1409-1811 nm and 1952-2496 nm. For further information on the processing of the raw data please see the dataset's metadata pdf in linked documentation. Please note that all raw spectra files collected during the NCAVEO campaign with ASD N4406 have incorrect dates. The laptop computer used with the ASD had the month accidently set to JULY instead of June. The DAY of month and TIME (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are marked with the correct 15-18th June 2006 dates. " }, { "ob_id": 27806, "uuid": "175105e9c36b49d7b98ebf43579c5cdd", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 29900, "uuid": "5f1d4afa090a4e5c9937ec3362ffd77e", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Denmark fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Denmark provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 25918, "uuid": "9255faeb392f41debf5402caa40dada8", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Column-averaged CO2 from GOSAT generated with the OCFP (UoL-FP) algorithm (CO2_GOS_OCFP), v7.0", "abstract": "The CO2_GOS_OCFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the University of Leicester Full-Physics Retrieval Algorithm, which is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the alternative SRFP algorithm, is also available. The OCFP product is considered the GHG_cci baseline product and it is advised that users who aren't sure which of the two products to use, use this product. For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG)." }, { "ob_id": 33367, "uuid": "5f66a881adf846bfaad58b0e6068f0ea", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 17th November 2018 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 12813, "uuid": "0b1f65b7aee1462eb01c7c2c416c3454", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CH4 Proxy Level 2 Data Product, version 5.2 (CH4_GOS_OCPR) generated with the OCPR (UoL-PR) algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the XCH4 GOS PR (Proxy) product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). \r\n\r\nThis version of the proxy product has been generated using version 5.2 of the OCPR University of Leicester Full-Physics Retrieval Algorithm, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra baseline algorithm. This algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals. A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm, and the link to this product's record page is provided in the documentation section. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section." }, { "ob_id": 29913, "uuid": "aef2d8a023094015971b1dbfdb035abd", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Kruger National Park fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Kruger National Park track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27435, "uuid": "af13038e9caf499482a9bbb0b8fca2b8", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the European regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Europe provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 7825, "uuid": "a3bdfb9b64937d42f5cb0cbf7c3d033f", "short_code": "ob", "title": "NCAVEO: Environment Agency LiDAR data collected during the flight of an Cessna 404 Aircraft", "abstract": "LiDAR data was collected by the UK Environment Agency on 17th June 2006 as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected from a Cessna 404 aircraft carrying an Optech 3100 LiDAR. The sensor was integrated with the on-board navigation system to provide accurate geometric correction through post-processing. The LiDAR was operated at 33 kHz to give a nominal pulse spacing around 1-2 m, and intensity plus first and last pulse returns were recorded. For further information please see the LiDAR survey report in linked documentation and the dataset's metadata document.\r\n" }, { "ob_id": 30603, "uuid": "99348189bd33459cbd597a58c30d8d10", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob", "title": "GloboLakes: Lake Surface Water Temperature (LSWT) v4.0 (1995-2016)", "abstract": "Global Observatory of Lake Responses to Environmental Change (GloboLakes) was a project funded by the Natural Environment Research Council (NERC) with the following grant references: NE/J023345/2, NE/J02211X/1, NE/J023396/1, NE/J021717/1 and NE/J022810/1. \r\n\r\nThis dataset contains the GloboLakes LSWT v4.0 of daily observations of Lake Surface Water Temperature (LSWT), its uncertainty and quality levels. The LSWTs are obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) on MetOpA, AATSR (Advanced Along Track Scanning Radiometer) on Envisat and ATSR-2 (Along Track Scanning Radiometer) on ERS-2 (European Remote Sensing Satellite). The temperatures from the different instruments have been derived with the same algorithm and harmonised to insure consistency for the period 1995-2016. The GloboLakes LSWT v4.0 was produced by the University of Reading in 2018 for long term observations of surface water temperature for about 1000 lakes globally.\r\n\r\nThe dataset consist of two sets of files: 1) a single file per day on a 0.05° regular latitude- longitude grid covering the period from June 1995 to December 2016 (folder = daily), 2) a file per lake which contains the time series (daily) of the lake on a 0.05° regular grid (folder = per-lake). The list of the GloboLakes lakes is included as a CSV file and it contains name, GLWD identifier, coordinate of the lake centre and a set of coordinates that can be used to locate the lake in the daily-file dataset. The LSWTs consists of the daily observations of the temperature of the water (skin temperature). Uncertainty estimates and quality levels are provided for each value." }, { "ob_id": 19880, "uuid": "76ad6afa787d4c469122f0b472a988c0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 2.0.", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." }, { "ob_id": 43954, "uuid": "06844d9ae4c14ed8a2d77b9c74e98c3d", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, pre-logging, August 2019", "abstract": "This dataset is comprised of raw data from the EC-funded project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plot FGC-01 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 13349, "uuid": "06e4e74e2cb24ec582cdce05e2ff1c87", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a daily time resolution. It is computed from the Ocean Colour CCI Version 1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, this dataset is also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n" }, { "ob_id": 30600, "uuid": "1f84f9465e65416ca45cd20bc415b522", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 20089, "uuid": "60b820fa10804fca9c3f1ddfa5ef42a1", "short_code": "ob", "title": "EUSTACE/AASTI: Global clear-sky ice surface temperature data from the AVHRR series on the satellite swath with estimates of uncertainty components, v1.1, 2000-2009", "abstract": "This dataset provides global clear-sky ice surface temperature data derived from infrared satellite measurements, with estimates of the uncertainty components included. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nThe data provided here is Level 2 ice surface temperature data from the AVHRR (Advanced Very High Resolution Radiometer) series of satellite instruments, provided on the original satellite swath. This original AASTI (Arctic and Antarctic Ice Surface Temperatures from thermal infrared satellite sensors ) was produced under the EU NACLIM and the NORMAP projects; This version of the dataset has been extended under the EUSTACE (EU Surface Temperature for All Corners of Earth) project to also include components of uncertainty." }, { "ob_id": 13353, "uuid": "a456b6c4c290453d8bb436e45e616f78", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): Daily global remote sensing reflectance gridded on a sinusoidal projection, Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 1.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a daily time resolution. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n" }, { "ob_id": 32136, "uuid": "612a615afb5d48459b385380b440b545", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products covering the period 1997 - 2020.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 33410, "uuid": "299b1bb28eaa440f9a36e9786adfe398", "short_code": "ob", "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v4.2 dataset), version 2", "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home) \r\n\r\nThis version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'.\r\n\r\nA related product based on the Ocean Colour Climate Change Initiative v5.0 data is also available (see the link in the related records section)." }, { "ob_id": 19885, "uuid": "8b087afe9d53471ea98ffa092867d289", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 2.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available." }, { "ob_id": 27604, "uuid": "afa7ac23b4a04c07a93a143689fd14d5", "short_code": "ob", "title": "FIDUCEO: MVIRI Aerosol Optical Thickness and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Aerosol Optial depth demonstration dataset contains the aerosol optical thickness (AOT) as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centred around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe aerosol optical thickness (AOT) was retrieved from the MVIRI fundamental climate data record (FCDR) using the Combined Inversion of Surface and AeRosol (CISAR) Algorithm. Both datasets were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project. The primary objective of this data record is to assess and demonstrate how the recalibrated and uncertainty-quantified MVIRI FCDR can support improved retrieval of geophysical parameters. Of particular interest is the impact of in-flight reconstructed and spectrally degrading spectral response functions.\r\n\r\nMore information is available in the MVIRI Report and Release Note in the documentation" }, { "ob_id": 43932, "uuid": "e83501ef28ce4839916621857fdd9a88", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; SAFE project Plot SAF-03, Malaysian Borneo, June 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot SAF-03 is part of the Stability of Altered Forest Ecosystem (SAFE) Project located in the rainforests of Malaysian Borneo.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 41445, "uuid": "9b856433535146828a515b1125bc8a07", "short_code": "ob", "title": "BICEP/NCEO: Marine Phytoplankton Carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020", "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided." }, { "ob_id": 27801, "uuid": "b0b9fb9cd7434323b65bbe1dae0a2e94", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 39963, "uuid": "b0ec72a28b6a4829a33ed9adc215d5bc", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 6.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day, monthly and yearly composites) covering the period 1997 - 2022. Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)" }, { "ob_id": 43982, "uuid": "84ef8642085747edaa589f3b0b8f2973", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-04), Gabon, post-logging, January 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-04 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 43976, "uuid": "1f433c233fdc4ab29418123f802280fc", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-03), Gabon, pre-logging, January 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-03 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 27309, "uuid": "d24ec272fc8e41b18e0eccc9a1b55c3d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27256, "uuid": "0e2faf925c404a4fb817b17a6508cf99", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (Plot MNG-04), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27294, "uuid": "7ad3d55c11614b49988bec9bee12d4bd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (MNG-03), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 39945, "uuid": "0875b4675f1e46ebadb526e0b95505c5", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products) at 4km resolution, Version 6.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 6.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)" }, { "ob_id": 27352, "uuid": "0e84e3b2ab694046a81c118ed29eff48", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (Plot TAM-06), May 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Peru Madre De Dios Tambopata National Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Former Floodplain, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27405, "uuid": "004a2953edbc4c2e9b89bda0e2009e55", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period 11/1991 - 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 44516, "uuid": "82f7734afb3845a8ba5176ed5b1273dc", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-B), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44547, "uuid": "b2cc9fa8a1724936bb07d50e1cfd1e4a", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-05), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44535, "uuid": "c5586da814784847bf4bb3904a37480f", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-03), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44551, "uuid": "03634cd8f10943b39d9982e6f9bbb402", "short_code": "ob", "title": "Weighing trees with lasers: terrestrial laser scanner data; Danum Valley Conservation Area (Plot CBN-01), March 2017", "abstract": "This dataset is comprised of raw and proceesed data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed on a plot site situated in the Danum Valley Conservation Area. Danum Valley Conservation Area is a 438 square kilometres (169 sq mi) tract of relatively undisturbed lowland dipterocarp forest in Sabah, Malaysia. It has an extensive diversity of tropical flora and fauna.\r\n\r\nThere were no human settlements within the area before it became a conservation area, meaning that hunting, logging and other human interference were non-existent, making the area almost unique. It is managed by Yayasan Sabah for conservation, research, education, and habitat restoration training purposes. \r\n\r\nThe aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27334, "uuid": "12d06294616a434db1756d36f06b01dc", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-12), February 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44524, "uuid": "44da591cfa3f4818a3a0ff318e6bf9fa", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-N), August 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44549, "uuid": "46dcd358062042eb9a7bd3f9454df127", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-06), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27342, "uuid": "8065f8dc04144a85bbdc7357c723801f", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Malaysia Sabah Kabili-Sepilok Forest Reserve (Plot SEP-30), March 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Malaysia Sabah Kabili-Sepilok Forest Reserve. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: White Sand, Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27319, "uuid": "f835f111f045429d9301061a34dcbc37", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park Plot OKO-02), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant , Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 44545, "uuid": "8953a6e5320f4f0e9cba0b51538c1544", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-04), September 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 40867, "uuid": "62800d3d2227449085b430b503d36b01", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology product, version 3.0", "abstract": "This dataset provides daily climatological mean sea surface temperature (SST) on a global 0.05° latitude-longitude grid, derived from the SST CCI analysis data for the period 1991 to 2020 (30 years). \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.2 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n* Improved retrieval with respect to desert-dust aerosols \r\n* Addition of dual-view SLSTR data from 2016 onwards \r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n* Inclusion of L2P passive microwave AMSR data \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 7832, "uuid": "9dfcbe861cfb6c477619c6cf38b70c73", "short_code": "ob", "title": "NCAVEO: Digital Camera Imagery collected during the flight of a Cessna 404 Aircraft operated by the UK Environment Agency (EA)", "abstract": "Imagery was collected using a digital multispectral camera during the flight of a Cessna 404 aircraft operated by the UK Environment Agency (EA), for the 2006 field campaign of the Network for Calibration and Validation of EO data (NCAVEO). The flight took place between 9:46 and 11:16 am on 17th June 2006. The digital camera was integrated with an on-board navigation system to provide accurate geometric correction through post-processing. The true colour images are 4080 x 4080 in size, with a nominal ground resolution around 40 cm. The dataset also includes a polygon shape file including the British National Grid geographic co-ordinates and elevation of each photograph. " }, { "ob_id": 43978, "uuid": "288b49fd2a1e43d2a8dc7a05b12726b5", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-03), Gabon, post-logging, February 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-03 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 10868, "uuid": "c63e10555fd310fb8a47daf88104b8e1", "short_code": "ob", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Barton Bendish, Norfolk, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Barton Bendish, Norfolk, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 10856, "uuid": "9f4d2de72f7b7b1cf7c9b4588ee473fb", "short_code": "ob", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Harwood Forest, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Harwood Forest, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 13928, "uuid": "c65ce27928f34ebd92224c451c2a8bed", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.\r\n\r\nThe Version 1.1 data is an update of the Version 1.0 dataset.\r\n\r\nVersion 1.0 of this dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20" }, { "ob_id": 27436, "uuid": "ccb3b45ba498406ebc7d8d95aaae77cf", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Southern African regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Souther African regional site provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 43980, "uuid": "e0cb25ef2dff4a1f8bfd7222a9f7f870", "short_code": "ob", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-04), Gabon, pre-logging, January 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-04 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 25366, "uuid": "97aebb95404a4bde8405e9cf7e32b9f8", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 27532, "uuid": "62c0f97b1eac4e0197a674870afe1ee6", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude - longitude grid. It combines data from both the Advanced Very High Resolution Radiometer (AVHRR ) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 40865, "uuid": "a104ed92bddd4c56b11127d4cc49b8d4", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Collated (L3C) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), daily collations on a 0.05° latitude-longitude grid, spanning 2016 to present, and separated into daytime and night-time files. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n \r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 29910, "uuid": "a11904c87b50418d898756a9d9d12579", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Ethiopian fast track site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Ethopian fst track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 13314, "uuid": "62fae7fa0c33421db2fef0d65e374779", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol monthly products from ATSR2 (SU algorithm), Version 4.2", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation." }, { "ob_id": 11011, "uuid": "da85154480423eda8e8022d499abcc06", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Advanced Very High Resolution Radiometer (AVHRR) level 2 pre-processed (L2P) long term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI AVHRR (Advanced Very High Resolution Radiometer) Long Term Product consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 12/2010. The L2P data product provide these SST observations in the satellite swath.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20" }, { "ob_id": 32144, "uuid": "e94f2810c0794175b834153a71ac3182", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 27601, "uuid": "631e1f22d1754b78b5a64a3d66f4ce73", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) with ten member ensemble of perturbed level1 data, 2006 - 2016, v1.0", "abstract": "This Fundamental Climate Data Record (FDCR) ensemble product contains both recalibrated AVHRR/3 MetOp-A Radiance/Brightness Temperature data with associated metrologically traceable uncertainties in the FIDUCEO FCDR format. It also contains files containing an Ensemble dataset consisting of perturbations to the associated FIDUCEO FCDR radiances and brightness temperatures. By applying the 10 perturbations to the baseline FCDR radiances and brightness temperatures a user is able to generate 10 sets of new measurements whose variance capture the associated underlying uncertainty distributions contained in the Easy FCDR itself. \r\n\r\nThe FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project AVHRR FCDR improves on existing AVHRR level-1B: in the infrared the calibration has been improved with a measurement function approach such that the data is of better quality (noise has been reduced, outliers have been filtered) the metrologically traceable uncertainties have been derived together with their associated effects, cross-channel correlations and long-term correlation structures have now been calculated from the processed data and are being understood and used to improve data quality and consistency. For the Ensemble product the sensors have been calibrated against the Advanced Along-Track Scanning Radiometer (AATSR) sensor with additional corrections to calibration parameters which make the data better able to derive sea surface temperature estimates that are consistent with theInternational Comprehensive Ocean-Atmosphere Data Set (ICOADS) drifting buoy network. Because the Ensemble has been tuned for Sea Surface Temperature retrieval it should only be used over ocean scenes." }, { "ob_id": 27804, "uuid": "b9269d708e3e413fba6fbf7cb3419b3a", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 4.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 7952, "uuid": "63a8cb9f59cfa7c1a99ad9fb3ca0d7fc", "short_code": "ob", "title": "NCAVEO: Delta-T Devices Ltd BF2 sunshine sensor data\r\n\r\n", "abstract": "A Delta-T BF2 Sunshine Sensor was used to measure the total and diffuse sky irradiance every minute from 10:30 to 13:00 hours on the 17th June 2006, as part of the Network for Calibration and Validation of EO data 2006 Field Campaign. 150 readings were produced in total. The direct energy of the sun on the instrument is calculated from the differences between the total energy and diffuse component recorded simultaneously. " }, { "ob_id": 40297, "uuid": "63ce273377414fdfadae3cdd242e2f90", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 3.0", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 27444, "uuid": "63d305bfc8774883a8f49eb2fa27ce93", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for the Horn of Africa regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for the Horn of Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 27212, "uuid": "b93d491bee374c29a46d0a16049fb65e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-B), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, { "ob_id": 27605, "uuid": "b963913b22fe47caaa39e27dcbf0021e", "short_code": "ob", "title": "FIDUCEO: MVIRI Albedo and Uncertainties, Climate Data Record, 1991 - 2007, V0.1.1", "abstract": "The MVIRI Albedo and Uncertainties demonstration dataset contains the broadband surface albedo as retrieved from the visible channel of the Meteosat Visible and Infrared Imager (MVIRI) operated on board Meteosat First Generation (MFG) spacecrafts. The channel is centered around 0.7 µm but the spectral coverage of this channel is very broad. The dataset is produced for 2 of the 7 Meteosat satellites, Meteosat -5 and Meteosat-7, that were operated during the period between 1991 and 2007. While Meteosat-7 was, during the considered period, positioned above 0° longitude, Meteosat-5 was moved from 0° to 63° longitude in support of the INDOEX Experiment in 1998, with continued service in the course of the Indian Ocean Data Coverage (IODC) mission.\r\n\r\nThe albedo data was retrieved from the MVIRI fundamental climate data record; both were produced as part of the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) EU Horizon 2020 project." }, { "ob_id": 41207, "uuid": "b94cbe2ae4bf45cfa8dc58e98170c07c", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from the Metop-A AVHRR (Advanced Very High Resolution Radiometer) instrument, level 3 collated (L3C) global product, version 1.10", "abstract": "This dataset contains daily land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Very High Resolution Radiometer 3 (AVHRR-3) on the Metop-A satellite. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening METOP-A equator crossing times which are 9.30 and 21:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. The daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st March 2007 and ends on 15th November 2021. There are minor interruptions during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 26036, "uuid": "655866af94cd4fa6af67809657b275c3", "short_code": "ob", "title": "EUSTACE/GlobTemperature: Global clear-sky land surface temperature data from MODIS Terra on the satellite swath with estimates of uncertainty components, v2.1, 2000-2016", "abstract": "This dataset consists of Land Surface Temperature (LST) data with uncertainty estimates, from the MODIS instrument on NASA's Terra satellite. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. \r\n\r\nThe Level 2 Land Surface Temperature data in this dataset has been retrieved from MODIS Collection 6 L1B calibrated radiances, in the context of the GlobTemperature project, but new uncertainty estimates have been added as part of the EUSTACE project. This version of the LST dataset is v2.1 of the GT_MOG_2P product, with earlier versions produced under the GlobTemperature project. It consists of a complete set of LST and accompanying auxiliary (AUX) datafiles for the MODIS-Terra mission for the period 2000 to 2016. An equivalent dataset is also available for MODIS-Aqua." }, { "ob_id": 40874, "uuid": "656ac8ee1d42443f9addcbce28c1b137", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG5c1, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL PhD student Wanxin Yang and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing terrestial (TLS), unpiloted airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-10_FG5c1.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG5c1/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 7890, "uuid": "b99744be18e0490634870c54e016797e", "short_code": "ob", "title": "NCAVEO: ASD Field spectra N4406 data collected from Brockley field, near Chilbolton on the 15th June 2006", "abstract": "The reflectance spectra of the spring barley of field Brockley, near Chilbolton was collected as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. This dataset compromises the data which was collected on the 15th June. Measurements were also taken on the 18th at this location, the dataset record for which is available through linked documentation. Measurements were recorded using an ASD N4406 FieldSpec Pro, measurements having been taken at 5 flags within the field. After the exclusion of noisy bands, the spectra contains 1926 bands, covering the wavelengths 350-1354 nm, 1409-1811 nm and 1952-2496 nm. For further information on the processing of the raw data please see the dataset's metadata pdf in linked documentation. Please note that all raw spectra files collected during the NCAVEO campaign with ASD N4406 have incorrect dates. The laptop computer used with the ASD had the month accidently set to JULY instead of June. The DAY of month and TIME (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are marked with the correct 15-18th June 2006 dates. " }, { "ob_id": 37842, "uuid": "b0beb88af3b748b98afc4b35f77bebf8", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for global land areas, version 1.2", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. This version of the dataset provides data globally over land. For further information on the dataset, please see the linked documentation.\r\n\r\nInitially this dataset contains data from the period from March 2017 to May 2018, delivered as part of the GHG_cci Climate Research Data Package 7. Additional time periods may be delivered in the future.\r\n\r\nThis data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO)." }, { "ob_id": 32145, "uuid": "e9f82908fd9c48138b31e5cfaa6d692b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites) covering the period 1997 - 2020. Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 13361, "uuid": "ea0729b565014b08b5d5b5efe499edba", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): 8-day global ocean colour data products gridded on a sinusoidal projection (All Products), Version 1.0", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 1.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at an 8-day time resolution.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a sinusoidal projection.)" }, { "ob_id": 12790, "uuid": "b0ecc01a0c244162b5c4254ae03be45a", "short_code": "ob", "title": "NCAVEO: Level 3A ARSF Compact Airbone Spectrographic Imager 2 (CASI-2) data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF) collected CASI-2 data on 17th June 2006. The data was collected between 10:40 am and 12:01pm GMT over Chilbolton, the campaign's study area. The aircraft flew eight adjacent north-south flightlines to cover the whole area, and one east-west across the area, passing directly over the CFARR site. Information about data collection can be found in documentation file '168-GB06-10.pdf' in linked documentation.\r\n\r\nThe Level 3a files in this dataset have been processed using the AZGCORR software package (Azimuth Systems UK) provided by the NERC Airborne Research and Survey Facility. This produced a 2 metre pixel geo-corrected product without the use of ground control points. JPEG images of the Level 3 files are available for each flight line as band 10, 8, 6 RGB false-colour composites. The CASI data has 15 bands. The wavelength and width of these are specified in the associated metadata PDF, in linked documentation. Level 1B CASI-2 files and data collected by the Eagle instrument during the flight are also available through their separate dataset record pages, listed in linked documentation. " }, { "ob_id": 32140, "uuid": "66534da90ed44abebfc1b08adca4f9c3", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 7860, "uuid": "b123d0cbcd185ee62c6945d4e92bd6fa", "short_code": "ob", "title": "NCAVEO: LANDSAT7 ETM+ imagery of Chilbolton area", "abstract": "A satellite image taken by the LANDSAT 7 Enhanced Thematic Mapper Plus (ETM+) on the 12th May 2001 (source: Univ Maryland GLCF) has been resized to the study area of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO) in Chilbolton. The image has been exported as geotiff using bands 4,5, and 3 as RGB and its projection converted from UTM to the British National Grid, cell size 28.5m x 28.5m. A image from the Landsat 5 Thematic Mapper has also been resized to the study area (see link to this data's record in linked documentation)." }, { "ob_id": 20094, "uuid": "b2670fb9d6e14733b303865c85c2065d", "short_code": "ob", "title": "EUSTACE / E-OBS: Gridded European surface air temperature based on homogenised land station records since 1950", "abstract": "This dataset consists of an infilled analysis of European surface air temperature which has been based on homogenised meteorological land station records since 1950. The original homogenised station records are also available as a separate dataset. This dataset is a version of the ECA&D (European Climate Assessment & Dataset) E-OBS dataset, produced with funding from the EU Horizon2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project and contract C3S_311a_Lot4 with the Copernicus Climate Change Service. \r\n\r\nThe data is available directly from the ECA&D website and is referenced here to form part of the EUSTACE collection of data. The EUSTACE version of the product is E-OBSv19.0eHOM and future versions of the gridded dataset using homogenised temperature data will be produced operationally from E-OBSv20.0e onward. \r\n\r\nData is available for non-commercial purposes under the ECA&D terms and conditions (see https://www.ecad.eu//documents/ECAD_datapolicy.pdf).\r\n\r\nThe EU EUSTACE project has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171 and contract C3S_311a_Lot4 with the Copernicus Climate Change Service." }, { "ob_id": 10853, "uuid": "ce10a02f66a08a366a5d1cc59482e10b", "short_code": "ob", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Harwood Forest, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Harwood Forest, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data." }, { "ob_id": 27686, "uuid": "04bc222136f7429eb04d3eb3543ef3e8", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ORAC algorithm, version 4.01. It covers the period from 1995-2003\r\n\r\nFor further details about these data products please see the linked documentation." }, { "ob_id": 27437, "uuid": "e27efc2d7f294ec2ac4e68d4b44102aa", "short_code": "ob", "title": "BACI: System State Vector (SSV) land surface time series dataset for West African regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for West Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified." }, { "ob_id": 34868, "uuid": "e2aea49e9ff14bd185a7e4ffb91e6dda", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Downfall Creek (AEP-02), North Queensland, Australia, July 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full-waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot (A)EP-02 (Downfall Creek) is part of the CSIRO Rainforest Permanent Plots of North Queensland (Graham et al. 2006)\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 32139, "uuid": "e2c223cdcb4844f9a1ffe9759b61eaf4", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 26431, "uuid": "cfe46deca7324763b8989adaa2607f20", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 - 04/2012. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, { "ob_id": 43942, "uuid": "cfa35fbf01014a649544ecff779a89d3", "short_code": "ob", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-01),Brazil, August 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CRP-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, { "ob_id": 7898, "uuid": "cfb8e91f227d260b0824b184c64a461b", "short_code": "ob", "title": "NCAVEO: Newcastle University ASD Field spectra data collected with instrument N4406 at Rickyard field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of Winter wheat collected from Rickyard field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. For information on the data's processing please see the metadata PDF in linked documentation.\r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates." }, { "ob_id": 10871, "uuid": "cfb9601675a667247a8bd5fb0e58f396", "short_code": "ob", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Monks Wood, Cambridgeshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Monks Wood, Cambridgeshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.\r\n" }, { "ob_id": 31872, "uuid": "2cc63301f1854239aa61c70e58c61207", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for selected validation sites, version 1.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. The data covers the period from March 2017 to May 2018 and is provided for TCCON (Total Carbon Column Observing Network) validation sites only. A full global dataset is in production. For further information on the dataset, please see the linked documentation.\r\n\r\nThis data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 141068, 141069, 141070, 141072, 141073, 142217, 143085, 143086, 141071, 142218 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use.", "keywords": "NCEO", "publicationState": "published", "dataPublishedTime": "2021-02-17T16:13:03", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 9979, "uuid": "58c7c4d8004c29ec86386d2845371833", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/04 over the Sutton Bonington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8889, "uuid": "674e1eeb8090f4b720f9029b9d351620", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/43 over the South Coast Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27583, "uuid": "67074956dd8b45a59f3fca8c60eca9b7", "short_code": "ob", "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Plymouth", "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Plymouth. Two months' of data are provided for each area in the CARD4L v3.2.2 standard format. The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office. The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC." }, { "ob_id": 9535, "uuid": "380447bf0b84ac2feac04dd0c9d1490f", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/13 over the Cefni Reservoir and Llyn Alaw Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9927, "uuid": "0f27ab291611822688fc5ec1f015c920", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/13 over the New Forest and Chesil Beach Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9021, "uuid": "0f175635bea9cf4c8e591cd66e2b1f2b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/35 over the Swansea Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9639, "uuid": "a7bc4efa9c4fd6a692d819c70111d324", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/28 over the Cardigan Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9017, "uuid": "0578516f59a0a2fef27fa494bc7ab0ae", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/28 over the Loch Assynt Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9583, "uuid": "70099dc35a8256e8f983b25b97c14f6d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/32 over the Loch Linnhe Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8844, "uuid": "172c155cba91e66f9568cb33502dd469", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/18 over the Broadbalk area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10228, "uuid": "1b84a9d44dd82ade9632203f8129fc32", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/02 over the Conwy Estuary", "abstract": "ARSF project 04/02: Interpreting the Colour of Estuaries. PI: Dave Bowers. Site: Conwy Estuary." }, { "ob_id": 9923, "uuid": "b5b74e0f7d57fdb1ee96a8faae9916e5", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/12 over the Southampton and Chandlers Ford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27486, "uuid": "1d76c5f6007648f8b81c37cbcb62024a", "short_code": "ob", "title": "Advanced Very High Resolution Radiometer (AVHRR) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "The Advanced Very High Resolution Radiometer (AVHRR) is a broad-band, four to six-channel (depending on the model) scanner, sensing in the visible, near-infrared, and thermal infrared portions of the electromagnetic spectrum. This sensor is carried on the National Oceanic and Atmospheric Administration's (NOAA's) Polar Orbiting Environmental Satellites (POES), beginning with TIROS-N in 1978.\r\n\r\nAVHRR provides day and night imaging of land, water, and clouds as well as measurements of sea surface temperature, ice snow, and vegetation cover.\r\n\r\nNEODAAS (NERC Earth Observation Data Acquisition and Analysis Service) Dundee Satellite Receiving Station retrieved data from the NOAA satellites and initially published the products. The data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive." }, { "ob_id": 8147, "uuid": "5c433d03503b6afea005488b582c72fd", "short_code": "ob", "title": "AATSR: L2P Product (AATSR L2P) sea surface temperature values, v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite L2P product. These data are full resolution data with dual-view Sea Surface Temperature (SST) values. \r\n\r\nVersion 3.0 of this dataset is produced with the ARC L2P processor version 1.2, which replaces the ARC SST processor. The processor applies its own algorithm to generate SST data from the Level 1B Data. This method differs from that used to produce the Gridded Surface Temperature (GST) products. This product also includes the ATSR Saharan Dust index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm." }, { "ob_id": 9119, "uuid": "b6b0d3508204d7389c70c2636be86f74", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/20 over the Hunterston Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10155, "uuid": "206305d0abef8fd474e4c19453e7129b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/28 over the Castelvetrano and Maganoce Areas, Italy", "abstract": "ARSF project MC04/28: Assimilation of Remote Sensing data in Hydrological Models. PI: Timothy Malthus. Site: Maganoce, Castelvetrano." }, { "ob_id": 10613, "uuid": "225f81577058d5712f1699aa7d9a20fb", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/06 over River Corridors", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9683, "uuid": "2635bcfdc4d889d59dc856c8f3eae112", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/43 over the Swansea Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9319, "uuid": "35542d5015af13a640b109e6cd3a6427", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/17 over the Barton Bendish Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10187, "uuid": "6be0050a01ea2151df9cadf0ab922660", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB2005/14 over the North York Moors Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9759, "uuid": "23bb74a7cb3c3defa982a4cdd7091682", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/15 over the Morrich More Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8636, "uuid": "bba31851b2c83cf499ed44d6df58de93", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/02 over Arctic Sea Ice", "abstract": "ARSF project 03/02 led by Chris Merchant. Site: Sea ice." }, { "ob_id": 9001, "uuid": "194dd5a14f3379be58af75d3d6ca8c3a", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/CR30 over the Newborough Forest Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10488, "uuid": "6ce58e7b1d335fbd9ae6c0591b524e33", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/17 over the Butterwick Low Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10127, "uuid": "196bc4219cbfb026aa9a3632497311ff", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/43 over the Broads Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9539, "uuid": "7da4826ec2d276c6e8b85fd12dcf35a9", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/15 over the Heslerton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32379, "uuid": "6d0b4c8c5191408d943310e08ed6dd06", "short_code": "ob", "title": "MCD15A2H - MODIS/Terra+Aqua Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD15A2H\n\n\n\n\n\nThe level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 1-kilometer resolution on a Sinusoidal grid. Science Data Sets provided in the MCD15A2H include LAI, FPAR, a quality assurance rating, and standard deviation for each variable.\n\nThe LAI variable defines the number of equivalent layers of leaves relative to a unit of ground area, whereas FPAR measures the proportion of available radiation in the photosynthetically active wavelengths that are absorbed by a canopy. Both variables are used as satellite-derived parameters for calculating surface photosynthesis, evapotranspiration, and net primary production, which in turn are used to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation.\n\nCollection-5 MODIS Combined Terra and Aqua LAI products are Validated Stage 2, accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Collection-5 MODIS/Terra FPAR products are Validated Stage 1, meaning that accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program efforts. Although there may be later improved versions, these data are ready for use in scientific publications.\n\nShortname: MCD15A2H , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-4 , Spatial Resolution: 500 m , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE34 , File Naming Convention: MCD15A2H.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Ranga Myneni, Knyazikhin, Yuri, Taejin Park - Boston University and MODAPS SIPS - NASA. (2015). MOD15A2H MODIS/Combined Terra+Aqua Leaf Area Index/FPAR Daily L4 Global 500m SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD15A2H.006 , Keywords: Climate Change, Biomass, Evapotranspiration, Plant Phenology, Forest Composition/Vegetation Structure, Length of Growing Season, Leaf Characteristics, Canopy Characteristics, Photosynthetically Active Radiation " }, { "ob_id": 9839, "uuid": "7dea82b6aff6c576e4fa4b539f094abd", "short_code": "ob", "title": "Data from the Photographic Camera and ATM instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/09 over the Southover Heath and Swanley Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8304, "uuid": "bdb716a4594d1f938764081ac3fd6463", "short_code": "ob", "title": "Level 2 data from the IASI (Infrared Atmospheric Sounding Interferometer) instrument on board the Metop-B satellite", "abstract": "Level 2 data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on board the Eumetsat EPS Metop-B satellite. IASI is designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry." }, { "ob_id": 9559, "uuid": "bdade57677db14829c6cdaa1f3e937c9", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/01 over the Wytham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9591, "uuid": "6e937629e838e95c71da0ea3f852877d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/01 over the Tyndrum Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10071, "uuid": "1bc3d89e296af97aad92dd561ea98957", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/19 over the Dorchester, Poole, Henley and Dartford Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19019, "uuid": "1b95268e94d44ede88eac442d0b0d473", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1B data", "abstract": "This dataset contains level 1b altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. \r\n\r\nThese data contain geo-located and fully calibrated multi-looked High-Resolution power echoes. \r\nThese level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user. The level 1B SAR product contains the same variables as the level 1B-S product except for the waveform and the stack characterisation parts. A level 1B waveform is the average of each stack and is provided in samples (power waveform) in the frequency domain (range domain).\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 9251, "uuid": "c19bfa89244a5321214653a5ed673162", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8723, "uuid": "c1d0b97b263e7d902182eda7acaefe96", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 99/08 over the Grimsby, Immingham and Hessle Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32801, "uuid": "8305ad215f0f48c994bdb37df1bcf773", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): SM mode SLC Level 1 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nStripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing.\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 9071, "uuid": "830a3643c033644085313601c83ec045", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/01 over the Severn Valley Area", "abstract": "2015-11-20: Ed Williamson attempted to obtain data from the Siddal reprocessing pipeline, but no data found from old tape deposits.\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9507, "uuid": "84c9729858bf07603f78b6ef0dc0f662", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/36 over the Ardales and Antequera Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13468, "uuid": "c39007565ec74217b5404d3cd95d4910", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/14 over the Carboneras Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9499, "uuid": "86d0b235e640cdd554949a6fdee7da5c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/27 over the Dover Straits Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8407, "uuid": "85a414f72c8312439b176495ec240e0b", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 3-02 Product (CAL_LID_L2_VFM-ValStage1-V3-02)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 vertical feature mask version 3-02 data product, which describes the horizontal and vertical distribution of the cloud and the aerosol layers observed by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). Version 3-02 marks the transition to a new cluster computing system without any changes in the algorithm used in version 3-01. The resulting impact on the products are very minor." }, { "ob_id": 9467, "uuid": "24b7c06c39d98101310d115647b4a6eb", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/16 over the Tamar Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9687, "uuid": "86f531c62543843cce059aec020fd443", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/01 over the Charmouth East Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9555, "uuid": "c801b2c43519e5da6819d082b5cc8f12", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/23 over the Lizard Area, Lands End", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9531, "uuid": "c7f1c4f41bfb30a20d1c786b7f8faa69", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/09 over the Bracknell Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10552, "uuid": "c6e4a02fbf942a25d7558fae03587c09", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/13 over the Lime Regis Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32789, "uuid": "ab33998624364d63be7471a30cee635b", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, { "ob_id": 8387, "uuid": "28d70f3a778068728313515d4b83ca9c", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 3-30 Product (CAL_LID_L2_VFM-ValStage1-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 vertical feature mask version 3-30 data product describes the horizontal and vertical distribution of the cloud and the aerosol layers observed by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. The resulting changes are relatively small." }, { "ob_id": 8688, "uuid": "57c6aac4e6733302bf33234cdd82a40b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/01 over the Morbihan Area, France", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27778, "uuid": "d11cdf15ecfe4e7a805d88254d58208a", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 2 Land data", "abstract": "This dataset contains altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Level-2 (L2) is the Level-1 data corrected for geophysical effects. \r\n\r\nLike many recent altimeters, Sentinel 3 operates at two frequencies (Ju and C band) in order to derive an ionospheric correction. A Level 2 SRAL/MWR complete product contains three data files:\r\na \"reduced\" (Red) data file, containing a subset of the main 1 Hz Ku band parameters\r\na \"standard\" (Std) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters\r\nan \"enhanced\" (Enh) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters, the waveforms and the associated parameters necessary to reprocess the data.\r\nThe SRAL/MWR Level-2 products are generated in Standard Archive Format for Europe (SAFE) format. All the information relevant to the product is gathered into a single package. Inside this package, the specific objects containing measurement data are encoded in netCDF format.\r\n\r\nThere are different levels of data latency related to the availability of auxiliary or ancillary data:\r\n\r\nNear Real-Time (NRT): delivered less than 3 hours after data acquisition\r\nSlow Time Critical (STC): delivered within 48 hours after data acquisition\r\nNon-Time Critical (NTC): delivered within typically 1 month after data acquisition.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 4522, "uuid": "586ca4cdeab8e956914a4b8fc4571472", "short_code": "ob", "title": "HYREX project: LandSat instrument data", "abstract": "HYREX (Hydrological Radar Experiment) was a NERC (Natural Environment Research Council) special topic running from May 1993 to April 1997. Field experiments with an emphasis on radar, plus related interpretation and modelling, were carried out to investigate the short term forecasting and hydrological implications of precipitation. A special purpose-built dense rainguage network was established in Somerset as part of the project. Rainguage, radar and related meteorological data plus forecast data from the Met Office Unified Model are available through BADC." }, { "ob_id": 9727, "uuid": "d658ca2b9512b1d0c0f3e082a64c838c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/14 over the Gedney Hill and Gwydyr Forest Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10769, "uuid": "c97fee01e1c19828dd9bd84587ecca61", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/13 over the Skeidararjokull Area, Iceland", "abstract": "ARSF PROJECT IPY07/13: Characterisation of ice-marginal landscape change and proglacial fluvial response to rapid glacier retreat, SkeiDararjökull, Iceland using airborne LiDAR. Led by: Dr. Andrew Russell, School of Geography, Politics and Sociology, Newcastle University, Daysh Building, \nNewcastle upon Tyne, NE1 7RU. Location: SE Iceland." }, { "ob_id": 8698, "uuid": "835e1ee64daf5c1496d21dde141964ce", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/22 over the New Forest Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32389, "uuid": "0f3d112f9da048a786d3f54e08b4d642", "short_code": "ob", "title": "MCD64A1 - Combined Level 3 Direct Broadcast Burned Area Monthly Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD64A1\n\n\n\n\n\nMCD64A1 Burned Area Product is a monthly Level-3 gridded 500-meter product containing per-pixel burning and quality information, and tile-level metadata.\n\nThe MODIS Collection 6 burned-area mapping approach employs daily 500-m MODIS surface reflectance data coupled with 1-km MODIS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index derived from MODIS short-wave infrared channels 5 and 7, and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and unburned training samples and to guide the specification of prior probabilities. The combined use of active-fire and reflectance data enables the algorithm to adapt regionally over a wide range of pre- and post-burn conditions and across multiple ecosystems.\n\nShortname: MCD64A1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: monthly , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE134 , File Naming Convention: MCD64A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Keywords: Climate Change, Fires, Wildfires " }, { "ob_id": 10665, "uuid": "c99ccf44531c1f09e7d663480a4a68be", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 Aircraft during Flight CEH07/02 over the Stanlow Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9623, "uuid": "6687bbf4221eb2d377cb32af8449a429", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/21 over the River Tywi", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12329, "uuid": "ca2641a75ea847f7beb38d4e15a282db", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Ground Range Detected (GRD) Medium Resolution (MR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 9699, "uuid": "d3e0db307e39b11e4c4b8c846be7f9ba", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/04 over the River Exe", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8362, "uuid": "36e5af826c26f7ed025e50318a0633d0", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Aerosol Profile Version 3-01 Product (CAL_LID_L2_05kmAPro-Prov-V3-01)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 Aerosol Profile Version 3-01 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product with uniform horizontal resolution of 5 km and ancillary data. There are no layer descriptors included in the datasets, and the spatial distribution of the aerosol layers depends on the aerosol layer fraction and atmospheric volume description parameters. The aerosol backscatter and extinction coefficients are obtained through the CALIPSO Lidar Ratio selection algorithm. In Version 3-01, L2 products use enhanced daytime calibration, improved cloud-aerosol discrimination algorithm with removal of a bug in the cloud clearing code, and the newly introduced cloud thermodynamic phase assessment algorithm." }, { "ob_id": 10893, "uuid": "cb76a29c6f273aaf54660ed9e217d431", "short_code": "ob", "title": "MODIS Surface Reflectance Product from the Terra Satellite (MOD09)", "abstract": "The MODIS Surface Reflectance Product from the Terra satellite is a level 2 data product derived from 7 spectrum bands (bands 1-7 each centred at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively) from the Level 1B product. The product estimates the surface spectral reflectance as it would have been measured at ground level in the absence of atmospheric scattering or absorption. Corrections to account the effect of atmospheric gases, aerosols and thin cirrus clouds are made by using level 1B, other level 2 and level 3 products, and if necessary also climatology. Both the MOD09 dataset from the Terra satellite and the MYD09 dataset from the Aqua satellite are produced using the same processing system." }, { "ob_id": 9183, "uuid": "36e63f238f12416cb2f23e175048a6bf", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/16 over the Dufton Pike Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10384, "uuid": "cbae0e273723b580e8c45f7603a11fbe", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/12 over the Chichester Harbour Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10757, "uuid": "2c5f2f3bc242acec86902cb72108dd8d", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB04/11 over the Plymouth Area", "abstract": "ARSF project GB04/11: Validation of ocean colour imagery and development of a reflectance model. Led by: Samantha Lavender. Location: Plymouth, Devon, UK." }, { "ob_id": 9171, "uuid": "cba8113b8ba43e35cf8d0f8787d135d6", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/15 over the Derwent Fells Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9751, "uuid": "e55965f15d1a0183633f8a99e337a9e0", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/31 over the Thetford and Reedham Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10673, "uuid": "37386020c2ad0cec892b471e678f7d4a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/20 over the Cwm Berwyn Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10428, "uuid": "cd9185b0cab2170947e3bcbd3a3b91c6", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 98/16 over Scolt Head Island, Tollesbury", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9527, "uuid": "cd5acd74b1805b0d59cf5e7c0c914401", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/07 over the Langstone Harbour and Chichester Harbour Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9439, "uuid": "579cc3892f95a3429ddd5946fc0dd995", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/09 over the River Tay", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8756, "uuid": "cdb23848564622844a7e8652b4a9091d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/20 over the Tweed Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10244, "uuid": "8a836985816cec7377f59a0575bff2aa", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/19 over the Monks Wood and Woodwalton Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10147, "uuid": "86cccfc3bea20fac1558ed183f870440", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/30 over the Troodos Area, Cyprus", "abstract": "ARSF project MC04/30: Geoenvironmental mineral deposit modelling using airborne spectral data. PI: Jonathan Naden. Site: Troodos." }, { "ob_id": 9063, "uuid": "3843036e427891228927afc57795a09a", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/08 over the River Tay", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26986, "uuid": "e6d7731a67644e0fb5912ab248f0729b", "short_code": "ob", "title": "Sentinel 3B Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data", "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature (LST), active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 10191, "uuid": "7165916ea190a6a660fbc9cef2083a57", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB2005/13 over the Plymouth Area", "abstract": "ARSF project GB2005/13 led by P.Land. Site: Plymouth." }, { "ob_id": 27467, "uuid": "b33ec61670644124ab4af661009ec507", "short_code": "ob", "title": "Sentinel 5P: Methane (CH4) Total Column level 2 data", "abstract": "This dataset contains level 2 (geolocated) total column Methane (CH4) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying TROPOMI. Methane (CH4) is an important atmospheric trace gas for our understanding of tropospheric chemistry. TROPOMI aims at providing CH4 column concentrations with high sensitivity to the Earth’s surface, good spatiotemporal coverage, and sufficient accuracy to facilitate inverse modeling of sources and sinks. TROPOMI uses absorption information from the Oxygen-A Band (760nm) and the SWIR spectral range to monitor CH4 abundances in the Earth's atmosphere.\r\n\r\nThe Sentinel-5 Precursor mission flies in loose formation (about 3.5 – 5 minutes behind) with the S-NPP (SUOMI-National Polar-orbiting Partnership) mission to use VIIRS (Visible Infrared Imaging Radiometer Suite) cloud information to select cloud-free TROPOMI pixels for high quality methane retrieval." }, { "ob_id": 10035, "uuid": "1e8f540f9dcad9fcab4228b81e09e123", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/24 over the Thetford and Chepstow Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10633, "uuid": "d4d9c36ef0b2275fd255a0ec426e9328", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/12 over the Wytham Woods Area", "abstract": "ARSF project GB07/12: Spectral analysis of UK peatland fires via airborne remote sensing: detection of ‘flaming’ k-emission lines and mapping of plume trace gases. Led by: Martin Wooster, King's College London. Location: Northumbria, UK." }, { "ob_id": 32807, "uuid": "d69ef5ff221a45f38c35cd77c0ca9352", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 1 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was lanched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nThe IW SLC product contains one image per sub-swath, per polarisation channel, for a total of three or six images. Each sub-swath image consists of a series of bursts, where each burst was processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image, with black-fill demarcation in between\r\n\r\nUnlike SM and WV SLC products, which are sampled at the natural pixel spacing, the images for all bursts in all sub-swaths of an IW SLC product are re-sampled to a common pixel spacing grid in range and azimuth. The resampling to a common grid eliminates the need for further interpolation in case, in later processing stages, the bursts are merged to create a contiguous ground range, detected image.\r\n\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 8848, "uuid": "69f92402dd78ccabb677bb6dce536461", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/14 over the Tamar Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26855, "uuid": "1d8f70a7badd423babf3febc4dabec4c", "short_code": "ob", "title": "Sea-viewing Wide Field-of-view Sensor (SeaWiFS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "This dataset provides optical level 0 ocean colour data. The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited on board storage and direct broadcast) at 1 km. The mission and sensor were optimised for ocean colour measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarisation sensitivity. The data were transferred to CEDA when the Dundee Satellite Receiving Station NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS Dundee node) facility was closed to continue the long term archive." }, { "ob_id": 8356, "uuid": "5d5b1b2915cf3f80c3820a3ba113e1b7", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 3-01 Product (CAL_LID_L2_VFM-ValStage1-V3-01)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 vertical feature mask version 3-01 Data Product, which describes the horizontal and vertical distribution of the cloud and the aerosol layers observed by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). In Version 3-01, the L2 products use an enhanced daytime calibration, improved cloud-aerosol discrimination algorithm with removal of a bug in the cloud clearing code, and the newly introduced cloud thermodynamic phase assessment algorithm." }, { "ob_id": 9107, "uuid": "5b5dc5c68b01fca8af6a827f978ce57c", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/03 over the Aberlady Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9263, "uuid": "d40978cc44f6a5853fa57c7a2f4b82bb", "short_code": "ob", "title": "Data from the photographic camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/08 over the Ashford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9303, "uuid": "d689489b1c408d40845b5fd0ae5228e3", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/07 over the Blyth Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 30115, "uuid": "d69dccc3b50041bb91a126b85e9154d0", "short_code": "ob", "title": "Sentinel 5P: Suomi-NPP VIIRS cloud level 2 data", "abstract": "The S5P NPP Cloud product contains information on cloud and scene homogeneity for TROPOMI scenes, derived from operational products from the VIIRS (Visible Infra-red Imaging Radiometer Suite) on board the Suomi National Polar-orbiting Partnership (S-NPP) platform. S5P operates in loose formation orbit with NPP, so that measurements from VIIRS are well co-located with TROPOMI, with a time difference of about 3.5 minutes. There is no specific validation of auxiliary products within the S5P Mission Performance Centre.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI instrument onboard S5P is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth.\r\n\r\nThe S5P level 2 methane product is dependent on having information on cloud occurrence at spatial resolution finer than that achievable from TROPOMI itself. This information is also useful for other purposes, including assessing the influence of cloud on other L2 products and issues related to spatial co-registration. NPP-Cloud was therefore developed as a level 2 auxiliary product to describe cloud in the TROPOMI field of view (FOV), using co-located observations of VIIRS on the U.S. S-NPP. \r\n\r\nThe main information contained in the S5P-NPP product is:\r\n\r\n1. A statistical summary for each S5P FOV of the NPP-VIIRS L2 Cloud Mask (VCM).\r\n2. The mean and standard deviation of the sun-normalised radiance in a number of VIIRS moderate resolution bands.\r\nThis information is provided for three S5P spectral bands (to account for differences in spatial sampling)." }, { "ob_id": 10460, "uuid": "d6b6f2c3687be4380adcee40de22ce59", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/35 over the Jokulsa Area, Iceland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10484, "uuid": "237b288692f2bcde069a6ace8027cf59", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/16 over the Sorbas Basin Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9975, "uuid": "d7dbefb5d7249691d9fc3ed5120a9c35", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/03 over the Danby High Moor Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10649, "uuid": "6c7e049f6a6d81a3150550cd00792c2b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/05 over the Harwood Forest Area", "abstract": "ARSF project 03/05 led by P. Lewis. Site: Harwood Forest." }, { "ob_id": 8901, "uuid": "20f9632291f90fbe70e1873a32bd3741", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/06 over the Ullock Area in West Cumbria", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8925, "uuid": "90b63556a7ff3b6db6385826aa2cead1", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/27 over the River Severn", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13459, "uuid": "91b469c749814b61a56da98b7719c32c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/07 over the Sorbas Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9103, "uuid": "9adc3c4f068c00a7ac1830994c01e33d", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/16 over the Belper Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9115, "uuid": "6ba8d5acde100e4e2435a4e1c7646034", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/38 over the Ironbridge Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26441, "uuid": "e34eaffcf6bb4f3c87fffe0814f5c9bf", "short_code": "ob", "title": "Sentinel 5P: Nitrogen Dioxide (NO2) Total Column level 2 data", "abstract": "Sentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). These data products provide geolocated total, tropospheric, or stratospheric Nitrogen dioxide concentrations. The TROPOMI NO2 data products pose an improvement over previous NO2 data sets, particularly in their unprecedented spatial resolution (7×3.5 km2), but also in the separation of the stratospheric and tropospheric contributions of the retrieved slant columns, and in the calculation of the air-mass factors used to convert slant to total columns.\r\n\r\nNitrogen dioxide (NO2) and nitrogen oxide (NO) together are usually referred to as nitrogen oxides (NOx = NO + NO2). They are important trace gases in the Earth’s atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel combustion and biomass burning) and natural processes (such as microbiological processes in soils, wildfires and lightning). During the daytime, i.e. in the presence of sunlight, a photochemical cycle involving ozone (O3) converts NO into NO2 (and vice versa) on a timescale of minutes, so that NO2 is a robust measure for concentrations of nitrogen oxides. Tropospheric and stratospheric concentrations of NO2 are monitored all over the world by a variety of instruments either ground-based, in-situ (balloon, aircraft), or satellite-based each with its own specific advantages." }, { "ob_id": 10569, "uuid": "6e134a6c9f1edc9a709298bbe3c7f30e", "short_code": "ob", "title": "Data from the CASI Instrument on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 00/04 over the Shell Haven Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32403, "uuid": "e3ee4b286e97482fb3c979ca9268f228", "short_code": "ob", "title": "MOD14A1 - MODIS/Terra Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD14A1\n\n\n\n\n\nMODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline.\n\nMOD14A1 is produced every 8 days at 1-kilometer resolution as a gridded level-3 product in the Sinusoidal projection. This product is unique in that it has three dimensions: fire-mask (1D) and a maximum fire-radiative-power (2D) are provided for each day (3D) in the 8-day period. For example, the fire-mask contains eight, band sequential (day) 1200 x 1200 images of fire data representing consecutive days of data collection.\n\nThe Terra MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (1:30 PM and AM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate.\n\nCollection-5 MODIS/Terra Thermal Anomalies/Fire products are Validated Stage 3, meaning that uncertainties in the product and its associated structure are well quantified from comparison with reference in situ or other suitable reference data. These data are ready for use in scientific publications.\n\nShortname: MOD14A1 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE29 , File Naming Convention: MOD14A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Louis Giglio, Chris Justice - University of Maryland and MODAPS SIPS - NASA. (2015). MOD14A1 MODIS/Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD14A1.006 , Keywords: Climate Change, Land Surface Temperature, Fires " }, { "ob_id": 10544, "uuid": "92ce06d8a7e1884014074d3302d416a8", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/12 over the Nogalte and Torrealvilla Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10685, "uuid": "e413d3e53a03aab396d7237e73ad4c58", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/29 over the Thorney Island Area", "abstract": "ARSF project 03/29 led by K.Anderson. Site: Thorney Island." }, { "ob_id": 10216, "uuid": "dba53f36808e05ede8d02a24b65c9709", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/29 over the Glen Ogle and Glen Ample Landslides and Deposits", "abstract": "ARSF project 04/29 led by Mark Cutler: Glen Ogle and Glen Ample landslides and flood deposits." }, { "ob_id": 9743, "uuid": "db740d0384c4241f2cc8201d637c0156", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/20 over the Holderness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32785, "uuid": "67b646c363fc4f9289486ffd8c4c6b07", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1A data", "abstract": "This dataset contains level 1a altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. These data contain geo-located bursts of echoes with all calibrations applied. Level 1A (L1A) is an intermediate output of the Synthetic Aperture Radar (SAR) processor. L1A complex waveforms should be fully calibrated (including both instrumental gains and calibration corrections) and aligned in range within each burst. The time tag is given at the surface (that is when the middle of the burst reaches the surface). L1A is the starting point for the SAR processing which provides high-resolution products. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 10564, "uuid": "dc188cf50e3a93cc098ae250c3cdab6a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/12 over the", "abstract": "2015-11-20: Ed Williamson looked for data for this flight but can not seem to find any so set the record to working.\r\n\r\nARSF project IPY07/12: An evaluation of VIS-SWIR reflectance correction approaches for high latitude glaciated environments. Led by Dr. Meredith Willams, Geomatics and Water Resources Research Group (GWRRG), School of Civil Engineering & Geosciences, Newcastle University, Cassie Building, Newcastle upon Tyne, NE1 7RU. Location: SE Iceland." }, { "ob_id": 32430, "uuid": "692a3e1b71f24d8cbfc359eba26a7754", "short_code": "ob", "title": "MYD03 - Geolocation - 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD03\n\n\n\n\n\nThe MYD03 product inculdes the geolocation fields that are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information correspond to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above the geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors for any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly those produced by the Land team.\n\nShortname: MYD03 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-1A , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE01 , File Naming Convention: MYD03.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time YYYYDDD = Year and Day of Year of acquisition , Citation: MODIS Characterization Support Team (MCST), 2017. MODIS Geolocation Fields Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD03.061 " }, { "ob_id": 9243, "uuid": "32bc84b15ca352bc95563bb2570a0caa", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 98/20 over the Hunston Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8941, "uuid": "dca5253fe2468df08d0dfe164e7d3679", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/37 over the Folkstone Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9143, "uuid": "dd09bced9d416b4e12fb9ef94f5cafe5", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/48 over the Crymlyn Bog Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8937, "uuid": "6a2c00862b6acb1cb3ef07e8666daccb", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/36 over the Charmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8125, "uuid": "ebb0efd3bf06d7d0472503729201e624", "short_code": "ob", "title": "AATSR: Gridded Surface Temperature (GST) product (ATS_NR__2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Gridded Surface Temperature (GST) product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThe contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 9963, "uuid": "fada7701e3a931830fc83370ae28fbb2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/CR1 over the Morfa Mawr, Plas Gogerddan and Bronydd Mawr Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9471, "uuid": "ecaf99b52fd67511f8f15e9a11f0a71a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/17 over the Middlebere Heath Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10324, "uuid": "a652e0f2da60f394885a58d99d96b14a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/02 over the Insh Marshes Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32407, "uuid": "121756ef259340b0a0ac0f50e39a5220", "short_code": "ob", "title": "MYD021KM - Level 1B Calibrated Radiances - 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD021KM\n\n\n\n\n\n\"The MODIS Level-1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 µm to 14.4 µm region of the electromagentic spectrum. These data are generated from MODIS Level-1A scans of raw radiance, and in the process are converted to geophysical units of W/(m2µm sr). In addition, the Bidirectional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data.\n\nVisible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.\n\nThe resolution of channels 1 and 2 is 250 m, channels 3 through 7 are 500m resolution, and the rest are 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1 km resolution. Thus, the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for just the 250 m channels (MYD02QKM) and the 500 m channels (MYD02HKM) that preserve the original resolution of the data.\n\nSpatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and the respective pixels there, the resulting resolution at the scan extremes is about 2 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width with global coverage every one to two days. A single MODIS Level-1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of 1354 by 2030 pixels, resulting in a spatial coverage of 2330 km by 2030 km. Due to the MODIS scan geometry, there will be increasing overlap occurring beyond about a 25 degree scan angle.\n\nUsers requiring the full-resolution geolocation and solar/satellite geometry can obtain the separate MODIS Level-1 Geolocation product (MYD03) from LAADS.\"\n\nShortname: MYD021KM , Platform: Aqua , Instrument: MODIS , Processing Level: Level-1B , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE02 , File Naming Convention: MYD021KM.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time YYYYDDD = Year and Day of Year of acquisition , Citation: MODIS Characterization Support Team (MCST), 2017. MODIS 1km Calibrated Radiances Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD021KM.061 , Keywords: Climate Change, Radiance " }, { "ob_id": 8402, "uuid": "11e7185a15b1845bf93cb0f2a64cdb5a", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 1B Version 3-02 Product (CAL_LID_L1-ValStage1-V3-02)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 1B version 3-02 data product, which contains processed Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 0 Data and post processed ephemeris data, celestial data and converted payload status data. Version 3-02 marks the transition to a new cluster computing system without any changes in the algorithm used in version 3-01. The resulting impact on the products are very minor." }, { "ob_id": 10328, "uuid": "ee7970d6c06d546d822a9edaaed9792b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/03 over the Ribble Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9599, "uuid": "ef2969105c6fce486eec01eb442ef0d3", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/10 over the River Great Ouse", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9819, "uuid": "fcd6e68420f9c3524ddfa8bd5b5539a9", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/42 over the West Solent and Christchurch Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10793, "uuid": "f0b121514415588fd146d74bdd67b731", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 Aircraft during Flight GB08/02 over the Delamere Wood Area", "abstract": "ARSF project GB08/02: Integrating Airborne Lidar and Terrestrial Laser Scanning to characterise phenological changes in forest vegetation. Led by: Prof. Mark Danson, Centre for Environmental Systems Research, School of Environment and Life Sciences, University of Salford, Salford, M5 4WT. Location: Delamere Woods, Cheshire, UK." }, { "ob_id": 8965, "uuid": "f0ed35d9fc10ae45ee785ef051dc3f3d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/44 over the Bentley Wood, Whitecross Wood, Shabbington Wood and Waterperry Wood Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10773, "uuid": "6fc78c180e79e649962b3c437657921c", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/10 over the Russel Glacier, Greenland", "abstract": "ARSF project IPY07/10: An investigation of the link between accelerated ice discharge and surface melting at the Greenland Ice Sheet; Led buy Dr. Andrew Shepherd, School of Geosciences, University of Edinburgh, EH8 9XP. Location: Russell Glacier." }, { "ob_id": 9875, "uuid": "f1b3f8c7b6dcd95e4c9706a771dd9b2a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/26 over the Clipstone and Bawtry Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8719, "uuid": "f27ce00176bcd794c5ddfc068bfe2550", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 99/01 over the Alice Holt Area, Griffin Forest", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8997, "uuid": "f2cbfd29a4f34539889bfbe9f1259cd1", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/32 over the Swindon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9783, "uuid": "bc81f1ec8eaa5af8832349b51931185d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/29 over the Brooms Barn Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9447, "uuid": "bc770f09a79a7a8b1ccce653368238a0", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/25 over the Flanders Moss Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8739, "uuid": "f3dab64ad28db24c3917c75e2b51c1de", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/35 over the Ecomont Alps Area, Italy and Austria", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10360, "uuid": "0593b55e5e6f9f73eae11b97722239ba", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 00/24 over the Nottingham and Chesterfield Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19920, "uuid": "f534a463b0d24b14ad7e5f8fe649c66c", "short_code": "ob", "title": "ESA Ozone Climate Change Initiative (Ozone CCI): METOP-A/GOME-A Level 3 Tropospheric Tropical Ozone 2007-2014 V2.0", "abstract": "This dataset is a gridded 80x40km2 product with a temporal resolution of daily across the equator. \r\n\r\nThe data is calculated on a convective cloud differential (CCD) algorithm and averaged whereby only the position of the central coordinate is considered. \r\nThe tropospheric column can then be calculated by the difference between the stratospheric column and the total column. The stratospheric column being estimated as above the high reaching convective clouds (cloud cover >0.8 and >8km in height). To reduce the error above the clouds from up draught of tropospheric pollution a clean reference region 70°E to 170°W representitive of the latitude band. \r\n\r\nFor the Total column only cloud free observations are considered (<10%). This method assumes the stratospheric ozone is constant throughout each month and for one latitude band limit the CCD algorithm to the tropics (20°S to 20°N).\r\n\r\nGOME-2 is on-board the EUMETSAT satellite MetOp-A which was launched in October 2006.\r\nBuild on a design almost identical to GOME, it covers the same spectral range as its predecessor\r\nbut with an improved spatial resolution. The nominal ground-pixel size is 80 x 40 km2 with a\r\nglobal coverage in almost one day (swath of 1920 km). GOME-2 continues the measurement\r\nseries started with GOME, and in this project it is therefore used to retrieve total columns and\r\nvertical distributions of ozone. Data are available since January 2007 on an operational basis. A\r\nsecond GOME-2 instrument has been launched in 2012 on the METOP-B platform, and a third\r\none will be launched at the end of the decade on METOP-C." }, { "ob_id": 12325, "uuid": "f7014a8d35b648a5983a681fa346d8fc", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 1 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains level 1 Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nThe IW SLC product contains one image per sub-swath, per polarisation channel, for a total of three or six images. Each sub-swath image consists of a series of bursts, where each burst was processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image, with black-fill demarcation in between\r\n\r\nUnlike SM and WV SLC products, which are sampled at the natural pixel spacing, the images for all bursts in all sub-swaths of an IW SLC product are re-sampled to a common pixel spacing grid in range and azimuth. The resampling to a common grid eliminates the need for further interpolation in case, in later processing stages, the bursts are merged to create a contiguous ground range, detected image.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 9775, "uuid": "c49905fc368ce1aeb86d400f6f98fd54", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/15 over the Pembroke Coast", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9519, "uuid": "a7ac196e44ba376ce475bc6728b9e425", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/04 over the Orpington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8929, "uuid": "a31eb503449f8fa494f0d085e4ed959b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/30 over the Wolferton Creek, Welney, Woodwalton Fen, Monks Wood, Swavesey and Littlebury Green Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9915, "uuid": "f634583bd0a4df1762cbc221ac7247bf", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/10 over the Llanilar Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9411, "uuid": "3ea173051222d4c73835cb25c63ad084", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/21 over the Bere Regis Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9259, "uuid": "3df1f0ccadad5f87bec586d236cba730", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/07 over the Kingsteignton and Chelson Meadows Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9951, "uuid": "a8aa2d43c0e32f1e7c6a0b257385cf51", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/28 over the M1 Motorway", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9395, "uuid": "7077ad607cdca53e3580cdaf463274b8", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/01 over Rivers at York and Goole", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9079, "uuid": "a95649f3c8fcb88c7775c9d8848655ce", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/11 over the Hertford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10059, "uuid": "e0b904d8622b4e93ee8a9f5eabd342d5", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/36 over the Dyfed Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8861, "uuid": "f973e7e4e96debc6ff74fec5cea45654", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/28 over the Col de Peyrelue Area, France", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12303, "uuid": "f984fa9b84f74d47978f67dbb99dcc03", "short_code": "ob", "title": "NEXTMap British Digital Terrain 10m resolution (DTM10) Model Data by Intermap", "abstract": "This dataset consists of the Digital Terrain Model 10m resolution data (DTM10) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles." }, { "ob_id": 10677, "uuid": "4027c8eecb3f09ab7b5ce23789bc3ea0", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 Aircraft during Flight GB08/18 over the River Frome", "abstract": "ARSF project GB08/18: Assessing the distribution and abundance of a keystone riparian macrophyte - impacts of swan grazing and consequences for salmonid conservation. Led by: Dr. Richard Stilman, Centre for Conservation Ecology and Environmental Change, School of Conservation Sciences Bournemouth University, Talbot Campus, Fern Barrow, Poole, Dorset, BH125BB. Location: River Froome, Somerset, UK." }, { "ob_id": 8989, "uuid": "66eeef078713330cbd5e0473a7c3bbe4", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/19 over the Bawtry (West) Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10420, "uuid": "4035173a93eeeb7b64e30af9da6dc223", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 97/13 over the Aspull and Coleorton Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25276, "uuid": "f9df4417213b49a888ab2c85faefd2ba", "short_code": "ob", "title": "Sentinel 2B Multispectral Instrument (MSI) Level 1C data", "abstract": "This dataset contains Top-of Atmosphere (TOA) reflectances in cartographic geometry (level 1C) processed data, from the Multispectral Instrument (MSI) aboard the European Space Agency (ESA) Sentinel 2B satellite. Sentinel 2B was launched on 7th March 2016 and provides multispectral images of the earth’s surface as a continuation and enhancement of the Landsat and SPOT missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.\r\n\r\nCEDA have switched to provide Sentinel 2 data for the UK and Dependencies along with data needed per project basis as of April 2019. Please contact us if you need data outside these areas and we will see what we can do." }, { "ob_id": 9883, "uuid": "f9e2a13c409d23ce03a6920f64d06390", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/32 over the Swavesey Fen, Woodwalton and Monks Wood Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9041, "uuid": "405d270ad72f7099d1e75b26429f329c", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/R3 over the Weston-super-Mare Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25824, "uuid": "24c097cf77474644a4b3b17286abcd91", "short_code": "ob", "title": "ARSF Flight 2012_250 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_250).\r\n\r\nData were collected over the Bedford, UK area.\r\n" }, { "ob_id": 10813, "uuid": "24d4244235cb44085bbdb10a0dd594f6", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/49 over the River Taff", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19857, "uuid": "7bb9375151cf44e7993664c10d8d3da5", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Storstroemmen Glacier for 2015-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Storstromemmen glacier in Greenland, derived from Sentinel-1 SAR data acquired between 26/1/2015 and 8/6/2016. It has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nData files are delivered in NetCDF format at 250m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity components are provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid." }, { "ob_id": 8640, "uuid": "40703b0ef6088bdac362fbe43420a340", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/07 over the Reading Area", "abstract": "ARSF project 03/07 led by Maria Shahgedanova. Site: Reading." }, { "ob_id": 8977, "uuid": "7d4021352d94d9a23241f06519a1edd5", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/xx over the Liphook Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8676, "uuid": "307d2568374e70710481e78cab136c5c", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/41 for an Unnamed Project", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10589, "uuid": "ad943ad7377743d173a39531b0a32a3c", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 Aircraft during Flight GB08/08 over the Wytham Woods Area", "abstract": "ARSF project GB08/08: Opportunistic flights at Wytham Woods to study carbon and water fluxes in a fragmented woodland. Led by: Dr. Richard Harding, Centre for Ecology & Hydrology, Wallingford, UK. Location: Wytham Woods, Oxfordshire, UK." }, { "ob_id": 32787, "uuid": "41526384c3dd463eb0fc0117b87d08f6", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1B-S data", "abstract": "This dataset contains level 1b (L1B-S) altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. These data are fully SAR-processed and calibrated High-Resolution (HR) complex echoes arranged in stacks after slant range correction and prior to echo multi-look (multi-look processing reduces noise by averaging of adjacent pixels, and thereby reduces the standard deviation of the noise level).\r\n\r\nThe L1B-S HR product contains information from Doppler beams data. Hence, it has only been defined for the Synthetic Aperture Radar (SAR) processing chain. The Doppler beams associated with a given surface location (also called stack data) are formed through the selection of all the beams that illuminate a given surface location, and that contribute to each L1B HR waveform. Beams are the result of applying Doppler processing to the waveform bursts, which allows division of the conventional altimeter footprint into a certain number of stripes, thus creating a Delay Doppler Map (DDM). With this, contributions coming from different stripes can be identified and collected separately. When all the contributions from different bursts are collected, a stack is formed. The stack waveforms are provided in In-phase (I) and Quadrature-phase (I/Q) samples (complex waveforms) in the frequency domain. Apart from the Doppler processing, the beams of a stack have also been fully calibrated and range aligned. The L1B-S also includes characterisation parameters about the stack itself. The time tag is given at each surface location (defined throughout the L1 processing chain).\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 10372, "uuid": "416d3642ef55e4b96800cc66943ec1f1", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/06 over the Lamden Burn Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 11577, "uuid": "37f2813fa13944649b2f1e3a2995c7cc", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/04 over the Feltwell Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9827, "uuid": "7be4fa391181a69f1ae8b0a70df43f1e", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/02 over the Blakey Ridge and Glaisdale Rigg Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12361, "uuid": "a7aebcabdce9416a9ccacfb13853a724", "short_code": "ob", "title": "Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIR): Land remote sensing level 1 data", "abstract": "Landsat 8 was a joint project between the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS). Data was originally obtained from the USGS via the Catapult Satellite Applications Facility and is now held by Centre for Environmental Data Analysis (CEDA). The data are in GeoTIFF format.\r\n\r\nThis Landsat 8 dataset corresponds to the standard Level 1 terrain corrected data compatible with data acquired using Landsat 1 to Landsat 7. The Landsat 8 payload comprises two sensors: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The OLI provides measurements in the visible, near infrared and shortwave infrared at 30 m spatial resolution (bands 1-7 and 9), as well as in a panchromatic band (band 8) at 15 m spatial resolution. The OLI provides a new infrared channel (band 9) for cirrus detection and a new deep blue band (band 1) for coastal monitoring. The TIRS instrument provides thermal infrared measurements in two bands (bands 10 and 11) at 100 m spatial resolution resampled to 30 m to match the OLI multispectral bands. \r\n\r\nThe images are in North up (MAP) orientation. The data is supplied using the Universal Transverse Mercator (UTM) map projection. Polar Stereographic projection is used for polar scenes. The dataset uses the World Geodetic System (WGS) 84 datum. Pixel values are 16 bit. \r\n\r\nData is catalogued according to path and row number according to the Worldwide Reference System 2 (WRS-2)." }, { "ob_id": 8694, "uuid": "39cfdb3f99a54d74159d73917066870b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/20 over the Bedfordshire and Midlands Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8089, "uuid": "008ad14a19d37cc23286a38ed7627522", "short_code": "ob", "title": "AATSR: Three Band Colour Composite Browse Product (ATS_AST_BP), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Three Band Colour Composite Browse Product. These data are 3 band colour composite, quick-look images at coarse resolution. \r\n\r\nThis product has been derived from the Level 1B product and auxiliary data. The three bands are selected to best show the feature of the image, and it could vary between daylight time and night time. It also includes geolocation grid. The third reprocessing was done to implement updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 8969, "uuid": "42d7839ac77576e5830c873cabaaef20", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/47 over the Brentwood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9287, "uuid": "42cd463c7e48c0d7ad547a92a5ef1940", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/31 over the Southwest Approaches", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8885, "uuid": "00964886ed95e2b8dc5cf338a70c099f", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/41 over the Whitehaven Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12297, "uuid": "42a4ab662c734acfa46d5a1b231364ad", "short_code": "ob", "title": "NEXTMap British Difference model (dsm - dtm) Data by Intermap", "abstract": "This dataset consists of the Difference Model (dsm - dtm) - known as diff in the archive - from the NEXMap British Digital Terrain Model project produced by Intermap." }, { "ob_id": 8296, "uuid": "0092c4fe29f76c1b99b4dc19133f361a", "short_code": "ob", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop-B satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-B satellite.\r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1\r\n\r\nThis data set contains both the original processed data and reprocessed archive in the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only.\r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly." }, { "ob_id": 10733, "uuid": "012f9554b0ac3b18ea5f2cbd0151bc5d", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB06/07 over the Silver Flowe and Munsary Peatlands Areas", "abstract": "ARSF project GB06/07: From micro to macro scale: hyperspectral and LiDAR remote sensing of peatland landscapes. PI: T.Malthus. Site: Silver Flowe, Munsary Peatlands." }, { "ob_id": 10540, "uuid": "432a202c5025cae3da1b633b9555b182", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/10 over the Cardiff Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12328, "uuid": "d15f6b1a597444ddbd04718e51e71f0b", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Single Look Complex (SLC) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 9339, "uuid": "84c17d22afd35079c711b87906484a40", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/11 over the South Uist Area, Outer Hebrides", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10356, "uuid": "3b4b6365c61f7b293f870c2a34494eb5", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/16 over the Salisbury Plain Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12435, "uuid": "d2adcb41c8944dc99c43e77c974c9330", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v5 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 5 data. Original release is version 5.02 with bug fixes implemented in versions 5.05 and 5.06. Improvements with respect to the previous version 4.67 data include trunctation of the interferogram at 8 cm to avoid undersampling for the Optimised Resolution (OR) mission, improved engineering heights calculation, calculation of quadratic terms for spectral calibration included in output products, and addition of L0 house keeping data packets. Data are from 1st July 2002 to 8th April 2012." }, { "ob_id": 10789, "uuid": "3b3854a6ecccc3244f9729632902d7d2", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/44 over the Somerset Lakes - Chilton Trinity, Blagdon, Chew Valley, Emborough and Shearwater", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32775, "uuid": "6ae95449b899409790e64e23120b48e8", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): SM mode SLC Level 1 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nStripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing.\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 9651, "uuid": "47bef3dd0a5fecfe702417111b4b61c7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/32 over the Dover Straits Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8973, "uuid": "47cacda1a7816ee799b900e2072b39b2", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/50 over the Picket Wood, Somerford Common and Ampfield Wood Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8828, "uuid": "d416c641c6868e561a1765163652aeb9", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/x over the Llyn Brianne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9219, "uuid": "47e6a7b4afdf28c59ff11b4941cb657f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/02 over the Broadway Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32411, "uuid": "b5e81b4a2be145b990ae3b8e198f9266", "short_code": "ob", "title": "MYD06_L2 - MODIS/Aqua Clouds 5-Min L2 Swath 1km and 5km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD06_L2\n\n\n\n\n\nThe MODIS Level-2 Cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near-infrared solar reflected radiance provides additional information for the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). The shortname for this Level-2 MODIS cloud product is MYD06_L2. MYD06_L2 consists of parameters at a spatial resolution of either 1km or 5km (at nadir). Each MYD06_L2 product file covers a 5-minute time interval. This means that for 5km resolution parameters, the output grid is 270 pixels wide by 406 pixels in length. Every tenth granule has an output grid size of 270 by 408 pixels. For 1-km resolution parameters, the output grid is 1354 pixels in width by 2030 pixels in length and every tenth granule has an output grid size of 1354 by 2040 pixels.\n\nMYD06_L2 product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file, except two (band number and statistics). These are stored as Vdata (table arrays). Approximately 288 files are produced daily. Nighttime files are smaller than their daytime counterparts since only the cloud top properties are retrieved at night.\n\nThe MODIS Cloud Product will be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at 1km spatial resolution.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates.\n\nShortname: MYD06_L2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE06 , File Naming Convention: MYD06_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Platnick, S., Ackerman, S., King, M., et al., 2015. MODIS Atmosphere L2 Cloud Product (06_L2). NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD06_L2.061 , Keywords: Water Vapor, Precipitable Water " }, { "ob_id": 10556, "uuid": "4893356b7ca624a684efbb943b70d6b0", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/30 over the North Atlantic", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9511, "uuid": "1db06a738b2705c977e1e515a2a0962d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/37 over the Carboneras Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9811, "uuid": "3c59f03cf2a832823ba629e70cfbdbd2", "short_code": "ob", "title": "Data from the Photographic Camera ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/40 over the Esk and Irt Estuaries", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26520, "uuid": "daa38655222048b3a46a0932119f0064", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains level-2 Interferometric Wide swath (IW) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. These level 2 OCN products provide Ocean Wind field (OWI) and Surface Radial Velocity (RVL). \r\n\r\nThe OWI component is a ground range gridded estimate of the surface wind speed and direction at 10 m above the surface, derived from IW mode. The OWI component contains a set of wind vectors for each processed Level-1 input product. The norm is the wind speed in m/s and the argument is wind direction in degrees (meteorological convention = clockwise direction from where the wind blows with respect to the North). The spatial resolution of the SAR wind speed is 1km for IW mode.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 9667, "uuid": "d9991eaeb18a95a6788a0f57544fb56b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/38 over the Royal Aircraft Establishment, Bedford", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13544, "uuid": "48d69bd4dd89464fb1f32c3669bfaa94", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow L3B mean STD of 7 day running mean Snow Water Equivalent (SWE) Estimates (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) 7-day estimates and standard errors for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE) were calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans)\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 9037, "uuid": "dc593602e74dd869185b573ef9ef8cfa", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/test over the Swindon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9379, "uuid": "48b7c6617440407b9ae2e7f85c8a0cd7", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/21 over the Blackbrook Catchment Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8672, "uuid": "0da82b9e01863ec3e4a37bd249cabc3b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/40 over the Black Ven Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10023, "uuid": "26b1a90a766ec01beb45cea795a8c6d6", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/17 over Loch Leven, Loch Tay and Loch Lomond", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8412, "uuid": "283f7e60545b74713078088c4b32aedf", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 5km Cloud Layer Version 3-01 Product (CAL_LID_L2_05kmCLay-Prov-V3-01)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 5km cloud layer version 3-01 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 5 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provide a range of parameters including vertical profile of cloud layers and optical depth. In Version 3-01, L2 products use enhanced daytime calibration, improved cloud-aerosol discrimination algorithm with removal of a bug in the cloud clearing code, and the newly introduced cloud thermodynamic phase assessment algorithm." }, { "ob_id": 9947, "uuid": "0e8be82391a7f9b900998fc1fa4a6022", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/25 over the Theobalds Park Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9663, "uuid": "19a8b06230799958f1bf7f7feba0fc11", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/37 over the Slapton Ley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9843, "uuid": "bd5b0d6f221154a302aed4003380587d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/10 over the Leverton Marsh Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8203, "uuid": "bde3e07047e99cdf61908c3e93d51c66", "short_code": "ob", "title": "Global Ozone Monitoring Experiment-2 (GOME-2): Atmospheric Spectral METOP-A data at Level 1b", "abstract": "The Global Ozone Monitoring Experiment–2 (GOME–2), is an optical spectrometer, fed by a scan mirror which enables across–track scanning in nadir, as well as sideways viewing for polar coverage and instrument characterisation measurements using the moon. The scan mirror directs light into a telescope, designed to match the field of view of the instrument to the dimensions of the entrance slit. This scan mirror can also be directed towards internal calibration sources or towards a diffuser plate for calibration measurements using the sun.\r\n\r\nThis dataset contains atmospheric spectra (Level 1b data) from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite." }, { "ob_id": 9983, "uuid": "4a547b028760c6f317e0959b0fd1cd81", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/05 over the Western Approaches Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10396, "uuid": "bded886b0838861c705ed6e28907b01e", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/28 over the Avonmouth Smelter Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10332, "uuid": "be7893135bf22af98ac177d5a5e00f05", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/26 over the Woodwalton Fen, Woodwalton and Monks Wood Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10288, "uuid": "8a77dd537d687735a42008a8b06caa40", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/18 over the Insh Marshes Area", "abstract": "ARSF project 04/18: Airborne remote sensing of wetland vegetation: a contribution to the understanding of the spatial and temporal dynamics of heterogeneous vegetation. PI: S. Winterbottom. Site: Insh Marshes." }, { "ob_id": 10476, "uuid": "3cc28c7ae0a790efc6eeaa26f9f05557", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/18 over the Langjokull Area, Iceland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32395, "uuid": "be30127db24d45c3826367af7d0fcc44", "short_code": "ob", "title": "MOD06_L2 - MODIS/Terra Clouds 5-Min L2 Swath 1km and 5km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD06_L2\n\n\n\n\n\nThe MODIS Level-2 Cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near-infrared solar reflected radiance provides additional information for the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). The shortname for this Level-2 MODIS cloud product is MOD06_L2. MOD06_L2 consists of parameters at a spatial resolution of either 1km or 5km (at nadir). Each MOD06_L2 product file covers a 5-minute time interval. This means that for 5km resolution parameters, the output grid is 270 pixels wide by 406 pixels in length. Every tenth granule has an output grid size of 270 by 408 pixels. For 1-km resolution parameters, the output grid is 1354 pixels in width by 2030 pixels in length and every tenth granule has an output grid size of 1354 by 2040 pixels.\n\nMOD06_L2 product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file, except two (band number and statistics). These are stored as Vdata (table arrays). Approximately 288 files are produced daily. Nighttime files are smaller than their daytime counterparts since only the cloud top properties are retrieved at night.\n\nThe MODIS Cloud Product will be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at 1km spatial resolution.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates.\n\nShortname: MOD06_L2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE06 , File Naming Convention: MOD06_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Platnick, S., Ackerman, S., King, M., et al., 2015. MODIS Atmosphere L2 Cloud Product (06_L2). NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MOD06_L2.061 , Keywords: Water Vapor, Precipitable Water " }, { "ob_id": 10976, "uuid": "4aaec0b607abe5ed25cab12adfaac5f0", "short_code": "ob", "title": "MISR Level 2 Land Surface Data V002 (MIL2ASLS)", "abstract": "Land surface data including bihemispherical and directional-hemispherical reflectances (albedo), hemispherical directional and bidirectional reflectance factors (BRF), BRF model parameters, leaf-area index (LAI), fraction of photosynthetically active radiation (FPAR), and normalized difference vegetation index (NDVI) on a 1.1 km grid, derived from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra. " }, { "ob_id": 10272, "uuid": "d78f1f2aa49b957431ae3c0a99dbc603", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/09 over the Wantage Area, in support of the LOwland CAtchment Research programme (LOCAR)", "abstract": "ARSF project 04/09: The impact of spatial variability in LAI and albedo on the uncertainty in estimates of evaporation. PI: R. Harding. Site: Wantage." }, { "ob_id": 9967, "uuid": "b37ac3c4b8a3321ec8a832462fc0f26b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/01 over the Loch Assynt Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 20025, "uuid": "ac7ade0c3a7b4444867e7e46959ee385", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Interferometric Wide swath (IW) Ground Range Detected (GRD) High Resolution (HR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered user." }, { "ob_id": 9403, "uuid": "4b6335ae1f1f4165d47731e857136d51", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/08 over the Plynlimon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9135, "uuid": "4b7564d743f14d13f02ccae89c2ba03a", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/44 over the Aran Fawddwy Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9551, "uuid": "4b8017193a405955e8c1e013632aee69", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/22 over the Teesmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8261, "uuid": "4b814c20c1efd0db622146794db6f787", "short_code": "ob", "title": "Landsat Mediterranean data acquired by Landmap", "abstract": "Landsat data for Cyprus, East Spain and West Spain is available from Landsat 5 and 7. The data were obtained by the Landmap project from donations by various academic institutions. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 10593, "uuid": "8cff252dac9c47d05efa00917923a49f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/11 over the Helheim and Kanger Areas, Greenland", "abstract": "ARSF project IPY07/11: Thinning of south-eastern Greenland outlet glaciers and their contribution to sea level rise. Led by: Prof. Tavi Murray, School of the Environment & Society, Swansea University, Singleton Park, Swansea, SA2 8PP. Location: SE Greenland." }, { "ob_id": 9239, "uuid": "2164e8d9406bcfd42d9c1893acf7415f", "short_code": "ob", "title": "Data from the Photographic Camera and CASI Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/19 over the Westerschelde Estuary, The Netherlands", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9279, "uuid": "d160422d55096ec61da3b28b8de658ce", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/15 over the Beaulieu Heath Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10404, "uuid": "84f1b8899fe12c286967c867518b1af8", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/30 over the Minstead and Highland Water Areas, New Forest", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10548, "uuid": "21a81b6a9963f87d367707cc6ba56c4f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/14 over the Weardale Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10143, "uuid": "8d93fd530e19718a0f26bab80d0a7ce6", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/31 over the Paphos Area, Cyprus", "abstract": "ARSF project MC04/31: Modelling landslide processes and associated geohazards in seismically active SW Cyprus: a potential NERC community site for applied landslide geohazard research & training. PI: Kevin Northmore. Site: Paphos." }, { "ob_id": 10452, "uuid": "8d7563e24e6a9634212ccff5971fa223", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/25 over the Salthouse Area, Norfolk Coast", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8332, "uuid": "c10b78c69887a4960879688e73cb37a0", "short_code": "ob", "title": "Data from LANDSAT7 ETMPLUS at Landsat7 for the Landsat Campaign", "abstract": "The Landsat 7 program uses the Enhanced Thematic Mapper plus (ETM+) and provides contiguous data from Landsat 1 program from the early 1970's to present (2012). Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The program is jointly run by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data." }, { "ob_id": 8881, "uuid": "c14e82af33f856e8fc1e716f71bd1b08", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/40 over the Charmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26516, "uuid": "74b47589019e45c187fb5e81b3ad4a31", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains level-2 Interferometric Wide swath (IW) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. These level 2 OCN products provide Ocean Wind field (OWI) and Surface Radial Velocity (RVL).\r\n\r\nThe OWI component is a ground range gridded estimate of the surface wind speed and direction at 10 m above the surface, derived from IW mode. The OWI component contains a set of wind vectors for each processed Level-1 input product. The norm is the wind speed in m/s and the argument is wind direction in degrees (meteorological convention = clockwise direction from where the wind blows with respect to the North). The spatial resolution of the SAR wind speed is 1 km for IW mode.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 9515, "uuid": "74c1a63c38dfe1539f33dfb6a3ec3334", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/01 over the Loch Fleet Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8788, "uuid": "2326e20d9142ae1a6e767729d6575b51", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/29 over the Rambla Honda, Velez del Rubio, and Ramble de Nogalte Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10436, "uuid": "2cdcd1bd1a26f5ce10b8a9a5ca862d11", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/12 over the Finsterwalderbreen Area, Svalbard", "abstract": "ARSF project 03/12 led by A. Fox. Site: Finsterwalderbreen." }, { "ob_id": 9291, "uuid": "3d8490b25fa9f19776fb1e086944b7ff", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/04 over the Kirkcudbright Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8026, "uuid": "8ee4297c9a1645205f0fd5334de56bb0", "short_code": "ob", "title": "SCIAMACHY: Level 1b radiance products version 7.04", "abstract": "Level 1b data (radiances) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). SCIAMACHY was one of the ten instruments on-board the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002. Envisat was operated by the European Space Agency (ESA) until May 2012. SCIAMACHY was used to provide global measurements of trace gases in the troposphere and the stratosphere which are derived from the Level 1B radiance products." }, { "ob_id": 10500, "uuid": "8dea6c9ad9752cc7d0ded2ff4999fe8c", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/08 over the Rodaquilar Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10208, "uuid": "db5f07de1142a99006c6210a7e7bcf6b", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Calibration Flight 05/cal over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10504, "uuid": "8e3bb0727c10f6a28068458bcf77ab6e", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/07 over the Rio de Ribadeo Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25900, "uuid": "4e1ed175588d41f193dd6f8f0140e7e3", "short_code": "ob", "title": "Sentinel 5P: TROPOspheric Monitoring Instrument (TROPOMI) Radiance level 1b data.", "abstract": "This dataset contains level 1b earth radiance spectra data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the European Space Agency (ESA) Sentinel 5P satellite. Sentinel 5P was launched on 13th October 2017. Level 1b data is geo-located and radiometrically corrected top of the atmosphere Earth radiances in all spectral bands. There is one L1b radiance product type for each spectral band (product identifiers L1B_RA_BD1 through L1B_RA_BD8). The radiance products are the main input for the Level-2 processors.\r\n\r\nSentinel 5P aims to provide atmospheric measurements relating to air quality, climate forcing, ozone and ultraviolet radiation. This data looks to build on the data from GOME, SCIAMACHY and OMI missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." }, { "ob_id": 9295, "uuid": "27f2cf0ae73692da8e4c7ae2081f36eb", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/05 over Loch Ness, Loch Awe and Loch Lomond", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9787, "uuid": "26b6a35464f46288c9d5762c72d71135", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/30 over the Holderness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9803, "uuid": "4e215f527caee3882ba405fe37dadc8e", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/38 over the Blewbury Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12322, "uuid": "d170a0de0c89436f971e2bca6a3b1f36", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) Full Resolution (FR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) Full Resolution (FR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 10524, "uuid": "70f4b6b9e9a48168a6e1cbc445c9df94", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/02 over the River Nith", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25818, "uuid": "c1bd61f95443402d8b34a91eeea903e5", "short_code": "ob", "title": "ARSF Flight 2012_208 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_208).\r\n\r\nData were collected over the Milton Keynes, UK area.\r\n" }, { "ob_id": 9415, "uuid": "db80c04542aa427a2be64c5b48243b84", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/22 over the Cutsdean Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8909, "uuid": "2ebfe32caec6e413976e7ec36a4dfb3b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/15 over the Somerset Levels Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8422, "uuid": "1ebd672eb076dd95cb00462f24274447", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 1km Cloud Layer Version 3-02 Product (CAL_LID_L2_01kmCLay-ValStage1-V3-02)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 3-02 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. Version 3-02 marks the transition to a new cluster computing system without any changes in the algorithm used in version 3-01. The resulting impact on the products are very minor." }, { "ob_id": 9275, "uuid": "84542cc40f4f6da27dcf2ccc4aee02e4", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/08 over the Ribble Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10252, "uuid": "4ed9ecbf5e68ff67f56921b80c11785c", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/17 over the Abisko Area, Sweden", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10837, "uuid": "01534005c9f5ffe1a2472e2fb258f846", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/07 over the Inverclyde Area", "abstract": "ARSF project GB07/07: Hyperspectral and Phenological Characterisation of Upland Heather Dominated Ecological Communities. Led by: Dr. Tim Malthus, School of Geosciences, University of Edinburgh, Grant Inst., King's Buildings Edinburgh, EH3 9JW. Location: Inverclyde, Scotland, UK." }, { "ob_id": 32409, "uuid": "1f4e19c154e64d2489d6516d5fd19f91", "short_code": "ob", "title": "MYD04_L2 - MODIS/Aqua Aerosol 5-Min L2 Swath 10km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD04_L2\n\n\n\n\n\n\"The MODIS Aerosol Product monitors the ambient aerosol optical thickness over the oceans globally and over a portion of the continents. Further, the aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. Daily Level-2 data are produced at the spatial resolution of a 10x10 1-km pixel array (at nadir).\n\nPrior to MODIS, satellite measurements were limited to reflectance measurements in one (GOES, METEOSAT) or two (AVHRR) channels. There was no real attempt to retrieve aerosol content over land on a global scale. Algorithms had been developed for use only over dark vegetation. The blue channel on MODIS, not present on AVHRR, offers the possibility to extend the derivation of optical thickness over land to additional surfaces. The algorithms use MODIS bands 1 through 7 and 20 and require prior cloud screening using MODIS data. Over the land, the dynamic aerosol models are derived from ground-based sky measurements and used in the net retrieval process.\n\nOver the ocean, three parameters that describe the aerosol loading and size distribution are retrieved. Pre-assumptions on the general structure of the size distribution are required in the inversion of MODIS data, and the volume-size distribution is described with two log-normal modes: a single mode to describe the accumulation mode particles (radius < 0.5 µm) and a single coarse mode to describe dust and/or salt particles (radius > 1.0 µm).\n\nThe quality assurance control of these products will be based on comparison with ground stations and climatology.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. \"\n\nShortname: MYD04_L2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 10 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE04 , File Naming Convention: MYD04_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Levy, R., Hsu, C., et al., 2015. MODIS Atmosphere L2 Aerosol Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD04_L2.061 , Keywords: Climate Change, Atmospheric Correction, Aerosol Optical Depth/Thickness " }, { "ob_id": 8913, "uuid": "ed2becfa68e2be41cf630f97f27c261e", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/17 over the Somerset Levels Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32399, "uuid": "15f057994f074b08a60daa1f188014e6", "short_code": "ob", "title": "MOD11A2 - MODIS/Terra Land Surface Temperature/3-Band Emissivity 8-Day L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD11A2\n\n\n\n\n\nThe MOD11A2 Level-3 MODIS Land Surface Temperature and Emissivity (LST/E) 8-day products are composed of data from the daily 1-kilometer LST product (MOD11A1) stored on a 1-km Sinusoidal grid as the average values of clear-sky LSTs during an 8-day period.\n\nMOD11A2 is comprised of daytime and nighttime LSTs, quality assurance assessment, observation times, view angles, bits of clear sky days and nights, and emissivities estimated in Bands 31 and 32 from land cover types.\n\nCollection-5 MODIS/Terra Land Surface Temperature/Emissivity products are validated to Stage 2, which means that their accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Further details regarding MODIS land product validation for the LST/E products are available from the following URL: http://landval.gsfc.nasa.gov/ProductStatus.php?ProductID=MOD11.\n\nShortname: MOD11A2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE31 , File Naming Convention: MOD11A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MOD11A2 MODIS/Terra Land Surface Temperature and the Emissivity 8-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD11A2.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires " }, { "ob_id": 10761, "uuid": "e1b9330234363fae198b0f3a9b82f6b2", "short_code": "ob", "title": "Data from the Photographic Camera and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB08/03 over the Burbage Moor Area, The Peak District", "abstract": "ARSF project GB08/03: Spatial and temporal changes in fuel moisture content (FMC) in upland vegetation: A case study in the Peak District. Led by: Dr. Richard Armitage, Centre for Environmental Systems Research, School of Environment and Life Sciences, University of Salford, Salford, M5 4WT. Location: Peak District, SE of Manchester, UK" }, { "ob_id": 10296, "uuid": "8bbebef4d92593d38c2094cf8c326fb7", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/26 over the Pipeline through Aberdeenshire", "abstract": "ARSF project 04/26: Detecting hydrocarbon induced geobotanical anomalies using hyperspectral imagery in Aberdeenshire. PI: M. Williams. Site: Aberdeen Pipeline ." }, { "ob_id": 10368, "uuid": "5b3955d9bf4c5cb1eaa30c797f6087f8", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/02 over the Cors Fochno Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 11635, "uuid": "edbd3036e9424e8c9257c1aa3a93ebd0", "short_code": "ob", "title": "Data from LANDSAT4 MSS at Landsat 4 for the Landsat Campaign", "abstract": "The Landsat 4 was placed into lower orbits than the previous Landsat spacecraft and carried improved instrument suites. Landsat 4 carried a Thematic Mapper (TM) imaging sensors in addition to the Multi-Spectral Scanner (MSS) used on the first three Landsat satellites." }, { "ob_id": 26992, "uuid": "f06cd9965a344be190681e18a81159ee", "short_code": "ob", "title": "Sentinel 3B Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3B the OLCI instrument provides a spatial resolution of 300m.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files." }, { "ob_id": 20022, "uuid": "275dfa6961464bfdada866b156f2605a", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Ground Range Detected (GRD) Medium Resolution (MR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1A was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide-area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered user in the UK." }, { "ob_id": 10364, "uuid": "430d14a2441ef810c0ea32c5aaf3e83a", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/01 over the Isles of Coll and Tiree", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12327, "uuid": "683517e0d1e94899a47ecbc2c8291cae", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Interferometric Wide swath (IW) Ground Range Detected (GRD) Medium Resolution (MR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK.\r\n\r\n" }, { "ob_id": 32417, "uuid": "f10420bececd447eb1b74db9d66ef12a", "short_code": "ob", "title": "MYD13A2 - MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD13A2\n\n\n\n\n\nGlobal MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\n\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products providing continuity for time series applications over this rich historical archive. MODIS also includes a new Enhanced Vegetation Index (EVI) product that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically-corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows.\n\nGlobal MYD13A2 data are provided every 16 days at 1-kilometer spatial resolution as a gridded level-3 product in the Sinusoidal projection. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes, including primary production and land cover conversion.\n\nCollection-5 MODIS/Aqua Vegetation Indices products are Validated at Stage 2, meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Although there may be later improved versions, these data are ready for use in scientific publications.\n\nShortname: MYD13A2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 16 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE35 , File Naming Convention: MYD13A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Kamel Didan - University of Arizona, Alfredo Huete - University of Technology Sydney and MODAPS SIPS - NASA. (2015). MYD13A2 MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MYD13A2.006 , Keywords: Climate Change, Canopy Characteristics, Biomass, Vegetation Index, Plant Phenology, Length of Growing Season " }, { "ob_id": 9971, "uuid": "ee4d9e34c581deaa16427319ca37443b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/02 over the Lathkill Dale Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9211, "uuid": "ee72e1042dcb977da71ecd732398c007", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/12 over The Pang Catchment, Wallingford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 7782, "uuid": "3f35b7632fdeb59b2df2247451e6d830", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Australia", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 8572, "uuid": "a7f8fdc2ed8bfd16651d201e44384029", "short_code": "ob", "title": "IASI: Atmospheric sounding Level 2 data products", "abstract": "This dataset contains level 2 data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on board the Eumetsat EPS Metop-A satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry." }, { "ob_id": 9283, "uuid": "e4f14b93f1c455faf2ba6986f5283c77", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/18 over the Bailden to Denholme Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10300, "uuid": "adeba95403ed7518e4218682774d355b", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/28 over the Northborough Area, for Time Team", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8417, "uuid": "a9b8d9758a17059a571cc1328b51c38a", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 1km Cloud Layer Version 3-30 Product (CAL_LID_L2_01kmCLay-ValStage1-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 3-30 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. The resulting changes are relatively small." }, { "ob_id": 19911, "uuid": "3c6d22dad7fb44dea4223319d2c37351", "short_code": "ob", "title": "MEdium Resolution Imaging Spectrometer (MERIS): Level 1B reprocessed radiance product, Version 3", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.\r\n\r\nThis dataset contains version 3, Level 1B reprocessed radiances MERIS product." }, { "ob_id": 9005, "uuid": "740a4ddadb502c75340e886a721bb3be", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/RE over Selected River Estuaries", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10496, "uuid": "0ca3da0a05c1a95000e0b47fea95810a", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/11 over the Menai Straits Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10388, "uuid": "e5c8fa991a02a452a5eb905bdda34a29", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/15 over the Manchester Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13689, "uuid": "a95c7379fae943f49b3f455a2291a95a", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Upper North America", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 10083, "uuid": "a9fd0533906ee1d5ed8b02f15495885a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/36 over the Winchester Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 20007, "uuid": "4f6b1b7bde0645d18bf8ce30e9326280", "short_code": "ob", "title": "Landsat 5 (LS5) Thematic Mapper data from the Landsat Campaign", "abstract": "Landsat 5 carries both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data." }, { "ob_id": 32419, "uuid": "bac493ecc5f14b4d809f35f89eceb834", "short_code": "ob", "title": "MYD35_L2 - MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD35_L2\n\n\n\n\n\n\"\nThe MODIS Cloud Mask product is a Level-2 product generated at 1-km and 250-m (at nadir) spatial resolutions. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. An indication of shadows affecting the scene is also provided. The 250-m cloud mask flags are based on visible channel data only. Radiometrically-accurate radiances are required, thus holes in the Cloud Mask will appear wherever the input radiances are incomplete or of poor quality assurance. There are two MODIS Cloud Mask data product files: MOD35_L2, containing data collected from the Terra platform; and MYD35_L2, containing data collected from the Aqua platform.\n\nThe MODIS cloud mask algorithm employs a battery of spectral tests, which use methodology applied in the AVHRR Processing scheme Over cLoudy Land and Ocean (APOLLO), International Satellite Cloud Climatology Project (ISCCP), CLoud Advanced Very high resolution Radiometer (CLAVR), and the Support of Environmental Requirements for Cloud Analysis and Archive (SERCAA) algorithms to identify cloudy FOVs. From these, a clear-sky confidence level (high confident clear, probably clear, undecided, cloudy) is assigned to each FOV. For inconclusive results, spatial- and temporal-variability tests are applied. The spectral tests rely on radiance (temperature) thresholds in the infrared and reflectance thresholds in the visible and near-infrared. Thresholds vary with surface type, atmospheric conditions (moisture, aerosol, etc.), and viewing geometry. In addition to the MYD02 calibrated radiances, a 1-km land/water mask, DEM, ecosystem analysis, snow/ice cover map, NCEP analysis of surface temperature and wind speed, and an estimate of precipitable water are required as inputs.\n\nA determination of the presence of global cloudiness is essential to the MODIS mission for two reasons. First, clouds play a critical role in the radiative balance of the Earth and must be accurately described to assess climate and potential climate change. Second, the presence of cloudiness must be accurately determined to properly retrieve many atmospheric and surface parameters. For many of these retrieval algorithms even thin cirrus represents contamination.\n\nCloud mask validation will be conducted using MODIS Airborne Simulator (MAS) data from several field campaigns, all-sky cameras, and comparison with NOAA operational instruments and possibly ASTER.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. \"\n\nShortname: MYD35_L2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 250 m, 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE03 , File Naming Convention: MYD35_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Ackerman, S., et al., 2017. MODIS Atmosphere L2 Cloud Mask Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD35_L2.061 , Keywords: Cloud Fraction, Climate Change, Atmospheric Correction " }, { "ob_id": 8800, "uuid": "e722e0bb6b7fca8221111743353abdef", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/33 over the Porton Down Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9343, "uuid": "ef29c4aa1882369133fdc09f5c5afb6f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/14 over the Broadbalk Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8618, "uuid": "8c81d9a18b46bc4cae5eb5e4a403cfee", "short_code": "ob", "title": "Data from the Optech LIDAR Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/09 over the Idrija and Ravne Faults, Slovenia", "abstract": "ARSF project MC04/09: LiDAR Mapping of Seismogenic Faults in NW Slovenia. PI: Dickson Cunningham. Site: Idrija and Ravne." }, { "ob_id": 8372, "uuid": "bad30f3debe4f5525f88fba3a61e2a00", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 5km Cloud Layer Version 3-02 Product (CAL_LID_L2_05kmCLay-Prov-V3-02)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 5km Cloud Layer Version 3-02 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 5 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provide a range of parameters including vertical profile of cloud layers and optical depth. Version 3-02 marks the transition to a new cluster computing system without any changes in the algorithm used in version 3-01. The resulting impact on the products are very minor." }, { "ob_id": 9359, "uuid": "09d526a21e5b58bb5b8ee655e3fd0cbb", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/07 over the Frame Wood Area in The New Forest", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10833, "uuid": "0f8dff7e673d7a4b861de0be254dba99", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/45 over the Winchester Wheat Fields Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9767, "uuid": "0f9f625c5b96c4c50a7a27eaa48d7aa7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/04 over the D'Arcy Cousland Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9523, "uuid": "c5680d968750610bba2e2fed232ae955", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/06 over the Loch Spelve Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9347, "uuid": "f56ad4805b7a67b9ba9948d14c349428", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/24 over Berwick-upon-Tweed, Humber Estuary, RACS Moorings, Holderness, Brough, and Rivers Ouse and Humber, in support of the Land-Ocean Interaction Study (LOIS) and the Rivers, Atmosphere and Coasts Study (RACS)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9847, "uuid": "c516c8f4368a395b2c1a8639110f995c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/11 over the Morton Fen Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8743, "uuid": "8d6af680f69e0bd5a0beddd2bfd2e67a", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/21 over the Tweed Estuary and Humber Estuary, in support of the Land-Ocean Interaction Study (LOIS) and the Rivers, Atmosphere and Coasts Study (RACS)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8808, "uuid": "c5a69eff845a608e21a25a2f3eec9b26", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/36 over the Walsall and Wolverhampton Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8578, "uuid": "9399794eafb50c208428eda6fa7e5cc6", "short_code": "ob", "title": "Data from Thematic Mapper (LS5) at Landsat5 for the Landsat Campaign", "abstract": "Landsat 4 and Landsat 5 carry both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data." }, { "ob_id": 9911, "uuid": "09320d1a16c789bc0afb9310ffadcd70", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/06 over The Wash Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9155, "uuid": "0c1ed13184a5dabcbce11511490188db", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/57 over the Parys Mountain Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10111, "uuid": "13af7623dbb1ff76a60fd026378791ae", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/34 over the Wymondham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10123, "uuid": "14c22ae7a12042e880d915d2de782c21", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/41 over the Shapwick, Gedney Hill, Chatteris and Strumpshaw Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10637, "uuid": "b527214d64684e4b25251ea9b0027ab4", "short_code": "ob", "title": "Data from the ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB04/19 over the Nigg Bay, Kincardine and Skin Flats Areas", "abstract": "ARSF project GB04/19: Quality assessment of restored habitats and assessment of factors that affect re-colonisation by invertebrate and avian species. Led by: Sandra Winterbotton. Location: Nigg Bay (Cromarthy Firth) / Kincardine and Skin Flats (Forth Estuary), Scotland." }, { "ob_id": 10492, "uuid": "3059738c7dd029722c972bf980db78e8", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/10 over the Tibberton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32397, "uuid": "35bb28eafbaa461db578e1218808c038", "short_code": "ob", "title": "MOD11A1 - MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD11A1\n\n\n\n\n\nThe MODIS/Terra Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. The MODIS/Terra LST/E Daily L3 Global 1 km SIN Grid,(Short name: MOD11A1), is a gridded version of the L2 Daily LST/E data set, whose LSTs are retrieved by the split-window algorithm.\n\nThe Collection-4 (C4) LST/E L3 MOD11A1 product inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The band 31 and 32 emissivities are estimated by a classification-based emissivity method, which relies on the pixel's land cover type as determined by the land and snow cover inputs. Until June 2001, the AVHRR-based IGBP land cover product was used. Following that time, MODIS-derived land cover product was used. The estimated emissivities in arid and semi-arid areas are potentially uncertain, and users are advised to exercise caution in their applications. The day/night alogorithm extracts average temperatures (in Kelvin) and applies them to a pair of MODIS daytime and nighttime observations. This method yields 1 K accuracy for materials with known emissivities. The V4 MOD11A1 product has a temporal acquisition range of February 24, 2000 (2000-055) until January 3, 2007 (200-003). The C4 collection remains consistent with C41, and users may combine the two collections in a time-series analysis.\n\nThe MODIS/Terra Collection 41 (C41) products use a modified Collection-4 (C4) LST algorithm and Collection-5 (C5) data inputs. The C41 products primarily address underestimation problems in the C5 Climate Modeling Grid (CMG) products. Recent validation activities reveal that the C5 CMG products underestimate LSTs up to 6K especially in desert and semi-arid regions. The availability of this collection starts with MODIS/Terra data acquisition on January 1, 2007 (2007-001). This date is driven by the availability of the MODIS C5 data inputs (level-1B radiance data, geolocation data, cloud mask, atmospheric profiles, and land and snow cover data).\n\nThe MODIS/Terra C5 LST/E L3 Global 5 km Grid product incorporates 1-km pixels, which are produced daily using the generalized split-window LST algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The C5 MOD11_L2 product's acquisition range started March 5, 2000 (2000-065) and will continue until some time after the C6 reprocessing is complete.\n\nThe C41 and C5 MODIS/Terra LST/E products, including the MOD11A1, are validated to Stage-2 with well-defined uncertainties over a range of representative conditions. Further details regarding MODIS land product validation for the LST/E products are available from the MODIS land team validation site referenced under 'Val Status' section.\n\nThe C41 LST products from 2007-001 will remain consistent with similar products from C4, and hence are amenable to combine them in a time-series analysis. Users should exercise caution, and not mix the C4.x (i.e., C4 and C41) and C5 LST products in their analyses.\n\nShortname: MOD11A1 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE16M , File Naming Convention: MOD11A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MOD11A1 MODIS/Terra Land Surface Temperature and the Emissivity Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD11A1.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires " }, { "ob_id": 10075, "uuid": "f6f5cfa531cf0678fdbd366594f46515", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/22 over the North Yorkshire Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10621, "uuid": "0e1fdafaff67cab57465dafbb1a6d8cb", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 99/07 over the Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13546, "uuid": "93bd163433a2430d841a77518d7a40e0", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly Aggregated Maximum value data (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) monthly estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe monthly aggregate, a single product for each month, is calculated by determining the mean and the maximum of the weekly SWE samples. This dataset presents the monthly maximum value of SWE only.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 10079, "uuid": "16fec7f381d47d80f7f6cc6cf1adcb98", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/34 over the Nottingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12330, "uuid": "500608c3f0e9428eb624b6bfb6ecf5a8", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Extra Wide (EW) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Extra Wide swath (EW) Ground Range Detected (GRD) High Resolution (HR) C-band Synthetic Aperture Radar (SAR) data from the Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The EW mode is primarily used for wide area coastal monitoring. The EW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are provided by the European Space Agency (ESA) and made available via CEDA to any registered scientific user in the UK." }, { "ob_id": 10280, "uuid": "bdd8706d975ff3e06541ee824b02f84c", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/13 over The Irish Sea", "abstract": "ARSF project 04/13: Remotely-sensed techniques for observing water quality in the Irish Sea. PI: G. Mitchelson Jacob. Site: Irish Ferries." }, { "ob_id": 8840, "uuid": "34fa5c1c38d5d8244f55463d62168e73", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/26 over the Black Ven Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8792, "uuid": "c6e632555abf6698bb9b553bee0d215b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/30 over the Rambla Honda, Velez del Rubio, Rambla de Nogalte and Rambla del Chortal Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10520, "uuid": "35d12e01af394433f40463bbc444a626", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/13 over the Rambla Castanos Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10236, "uuid": "b7e19c200763cd961c7d4f413b0ce211", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/15 over the Wytham Woods Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12299, "uuid": "176e32eaa5ab4d4385a7370b58ccecf4", "short_code": "ob", "title": "NEXTMap British Digital Surface Model (DSM) Data by Intermap", "abstract": "This dataset consists of the Digital Surface Model (DSM) from the NEXMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles." }, { "ob_id": 8382, "uuid": "f6650d841a3a7b09923825d9f77c27e3", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Aerosol Profile Version 3-30 Product (CAL_LID_L2_05kmAPro-Prov-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 aerosol profile version 3-30 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product with uniform horizontal resolution of 5 km and ancillary data. There are no layer descriptors included in the datasets, and the spatial distribution of the aerosol layers depends on the aerosol layer fraction and atmospheric volume description parameters. The aerosol backscatter and extinction coefficients are obtained through the CALIPSO Lidar Ratio selection algorithm. Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. The resulting changes are relatively small." }, { "ob_id": 10256, "uuid": "d7ca3495ef23997453e0292df05f720b", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/16 over the Tamar Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9051, "uuid": "8daca81aa9ed8f0bcca7c10392e46054", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/04 over the Grafham Water and Monks Wood Areas", "abstract": "2015-11-20: Data found to be corrupt from Siddal reprocessing pipeline\r\n\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8656, "uuid": "f788e67abab99c47a5727fff0519df42", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/04 over the Plymouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9335, "uuid": "8c45fc58735164c502165221b9986c9e", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/09 over the Rivers Tweed, Trent, Tame, Aire, Nidd, Wharfe, Ure, Wiske and Swale", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8628, "uuid": "e58e7d80632152d0be29434bdf46ee77", "short_code": "ob", "title": "Data from the ATM AZ-16 Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/20 for the Glass Sat Cal Project", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10007, "uuid": "faeb680d0b4e0ef4ad29d59415d204a2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/13 over the Ballantrae Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10424, "uuid": "fc47db3662457fb56f51021f8e010f6b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/33 over the Myvatn Area, Iceland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10264, "uuid": "9af01c5409b15b76e74f16ee95cfe23c", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/11 over the Sheep House Wood, Wytham Wood and Brampton Wood Areas", "abstract": "ARSF project 03_11 led by S. Hinsley. Sites: Sheep House Wood, Wytham Wood, Brampton Wood." }, { "ob_id": 10841, "uuid": "fd29b84d8a3be3a4835923e5c0b9226b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/08 over the Otterburn and Cheviot Hills Area", "abstract": "ARSF project 03/08 led by M. Cutler. Site: Otterburn, Cheviot Hills." }, { "ob_id": 38324, "uuid": "fa7519c41af742d696729b0ac2db8148", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Land Reduced Resolution (LRR) Level 2 data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm.\r\n\r\nThe OLCI Level-2 Land Reduced (OL_2_LRR) Resolution products are outputs from the OLCI Level-2 processor and contain land and atmospheric geophysical products at Reduced resolution.\r\n\r\nThe content of these files depends on several switches included in the OLCI configuration parameters. Each geophysical parameter format is only triggered if the corresponding switch is set to ‘1'. Note that all pixels flagged as cloudy are discarded from OLCI Level-2 processing.\r\n\r\nOL_2_LRR products have a spatial sampling of approximately 1.2 km for Reduced Resolution. The products are assumed to be computed in Near Real Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical (NTC) (i.e. within 1 month after acquisition) or in re-processed NTC.\r\n\r\nEach product provides as measurement data files:\r\n\r\n- Surface product as Green Instantaneous Fraction of Absorbed Photosynthetically Active Radiation (GI-FAPAR) and Terrestrial Chlorophyll Index (OTCI)\r\n- Atmosphere by-products as Integrated Water Vapour (IWV) column (this product also contains information for water pixels and is identical to that included in OL_2_WRR and OL_2_WFR)\r\n- Error estimates for all products.\r\n\r\nSeveral associated variables are also provided in the annotations data files:\r\n\r\n- Rectified reflectance for red and NIR channels (RC681 and RC865)\r\n- Classification, quality and science flags (LQSF)\r\n- Common data such as the ortho-geolocation of land pixels, solar and satellite angles, atmospheric and meteorological data, time stamp or instrument information. These variables are inherited from Level-1B products." }, { "ob_id": 10320, "uuid": "7a9d48ff6be7b95b7b7390ea2bc661af", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/22 over the Palekastro and Itanos Areas, Crete", "abstract": "ARSF project MC04/22: Pilot Study to Evaluate the Potential of Airborne Multi-Sensor Imaging for the Exploration of Ancient Settlements on the Island of Crete. PI: Aled Rowlands. Site: Palekastro, Itanos." }, { "ob_id": 8893, "uuid": "3539a98908a0836cd9e6ebc74689dbac", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/44 over the Humber Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10745, "uuid": "0aedcc9fd6bfef5bdcd412359e757890", "short_code": "ob", "title": "Data from the AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/01 over the Afar Area, Rift North, Ethopia", "abstract": "ARSF project ET07/01: Earth crust grow at divergent plate boundaries. Led by: Dr Timothy Wright, University of Leeds. Location: Afar, Ethiopia." }, { "ob_id": 9029, "uuid": "36e74097dc67e04f7edc35a7c387cc2b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/16 over the Derbyshire Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8644, "uuid": "b7870190fee9230d184de07f5d11785f", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/22 over the Sound of Eriskay Area", "abstract": "ARSF project 03/22 led by T.Malthus. Site: Sound of Eriskay." }, { "ob_id": 10689, "uuid": "a6534d669285e21b8857a5adac5328b4", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 99/11 over the Tamar Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10047, "uuid": "66e17a2f387e06dda55eba42ffc47d9f", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/31 over the Rutland Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9855, "uuid": "1b72f113f4c6f1642e7cb16e3b3193e9", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/17 over the Esthwaite Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9799, "uuid": "1bdae022ebac093f6e4f15b2f1a228a8", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/36 over the Belper Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9987, "uuid": "1bf5b290d55ce0a63cbba991cca1998d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/06 over the Didcot Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9131, "uuid": "e37ef6fd4119f0da31bab8ea992f5e1e", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/43 over the Hamford and West Mersea Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10183, "uuid": "b7bcfbd0e020c5acf811cd2cf0b78bf0", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/07 over the Pollino, Tuscania and Tarquinia Areas, Spain", "abstract": "ARSF project MC04/07: Quantifying canopy biophysical variables related to vegetation stress from airborne remotely-sensed data in Mediterranean ecosystems. PI: Alan Blackburn. Sites: Pollino, Tuscania, Tarquinia." }, { "ob_id": 9009, "uuid": "66fab8fd9c9f98f228f690fa81efe77e", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/xx over the Swindon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9387, "uuid": "80e7dd34b88767ee12046b628e7e3714", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/18 over the Loch Spelve Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10801, "uuid": "811829220f285471255b911d2e3fc0b4", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 99/10 over the Petersfield and Thorney Island Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8664, "uuid": "32fe3ff154b4f571a79c87c0627ec237", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/35 over the Newport Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8865, "uuid": "a2bb6d451e9726c319c7298c87f0e02d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/16 over the Somme Basin and French Coast Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8776, "uuid": "fe1d95a9d91abba004242ce9d0f5dfbd", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/02 over the Llanbrynmair Moor Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26461, "uuid": "84ff4498eab64f6885a0e2391b993064", "short_code": "ob", "title": "Sentinel 5P: Carbon Monoxide (CO) Total Column level 2 data", "abstract": "Sentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). TROPOMI on the Sentinel 5 Precursor (S5P) satellite observes the CO global abundance exploiting clear-sky and cloudy-sky Earth radiance measurements in the 2.3 µm spectral range of the shortwave infrared (SWIR) part of the solar spectrum. TROPOMI clear sky observations provide CO total columns with sensitivity to the tropospheric boundary layer. For cloudy atmospheres, the column sensitivity changes according to the light path. Carbon monoxide (CO) is an important atmospheric trace gas for our understanding of tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. The main sources of CO are the combustion of fossil fuels, biomass burning, and atmospheric oxidation of methane and other hydrocarbons. Whereas fossil fuel combustion is the main source of CO at Northern mid-latitudes, the oxidation of isoprene and biomass burning play an important role in the tropics." }, { "ob_id": 9611, "uuid": "a307e9d474e4151d83216327963026fa", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/18 over the River Teme", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9123, "uuid": "6b15fdffed2da8a1947ea683ff97c8b8", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/27 over the Esthwaite Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9763, "uuid": "50d699b6e555c1664f938191b823aa4d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/22 over the Windermere Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8873, "uuid": "6b455c1dd17562ab9549623c53b62a02", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/15 over the Tamar Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10741, "uuid": "50b72328251ee47defa09a871f692f45", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/08 over the Montrose Basin, Ythan Estuary and Eden Estuary Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9207, "uuid": "51042c57cca47db838755bcaf91e8523", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/10 over the Inshriach and Rothiemurchus Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10195, "uuid": "07731f1bf2772c53aa77c8a5cd1bcd70", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB2004/23 over the Filey Bay, Robin Hood's Bay and Whitby Abbey Areas", "abstract": "ARSF project GB2004/23: Integrated remote monitoring techniques for coastal geohazards and heritage sites. PI: J.Mills. Sites: Filey Bay, Robin Hoods and Whitby Abbey." }, { "ob_id": 8397, "uuid": "0bc0f6d2b6b422aa7ccbebd5063acca7", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 1km Cloud Layer Version 3-01 Product (CAL_LID_L2_01kmCLay-ValStage1-V3-01)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 3-01 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. In Version 3-01, L2 products use enhanced daytime calibration, improved cloud-aerosol discrimination algorithm with removal of a bug in the cloud clearing code, and the newly introduced cloud thermodynamic phase assessment algorithm." }, { "ob_id": 8985, "uuid": "7b2abd81e89bb7de633dd49f90803ae7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/18 over the Bawtry (East) Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32428, "uuid": "b8cb8a5d02b143fc8257d030f81bcf76", "short_code": "ob", "title": "MYD09GA - MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD09GA\n\n\n\n\n\nShortname: MYD09GA , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 Tiled , Spatial Resolution: 500 m, 1 km , Temporal Resolution: daily , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE13 " }, { "ob_id": 12305, "uuid": "f5d41db1170f41819497d15dd8052ad2", "short_code": "ob", "title": "NEXTMap British Digital Terrain 50m resolution (DTM10) Model Data by Intermap", "abstract": "This dataset consists of the Digital Terrain Model 50m resolution data (DTM10) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 50m and cover the British Isles." }, { "ob_id": 10011, "uuid": "1a64055f3c7d4b249a99106455502bdd", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/14 over the Snowdonia Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10440, "uuid": "375027e6748da3a34eff439b0260db80", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/19 over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32393, "uuid": "f5e2886edf254a42804b9a77af6d5c9c", "short_code": "ob", "title": "MOD04_L2 - MODIS/Terra Aerosol 5-Min L2 Swath 10km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD04_L2\n\n\n\n\n\n\"The MODIS Aerosol Product monitors the ambient aerosol optical thickness over the oceans globally and over a portion of the continents. Further, the aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. Daily Level-2 data are produced at the spatial resolution of a 10x10 1-km pixel array (at nadir).\n\nPrior to MODIS, satellite measurements were limited to reflectance measurements in one (GOES, METEOSAT) or two (AVHRR) channels. There was no real attempt to retrieve aerosol content over land on a global scale. Algorithms had been developed for use only over dark vegetation. The blue channel on MODIS, not present on AVHRR, offers the possibility to extend the derivation of optical thickness over land to additional surfaces. The algorithms use MODIS bands 1 through 7 and 20 and require prior cloud screening using MODIS data. Over the land, the dynamic aerosol models are derived from ground-based sky measurements and used in the net retrieval process.\n\nOver the ocean, three parameters that describe the aerosol loading and size distribution are retrieved. Pre-assumptions on the general structure of the size distribution are required in the inversion of MODIS data, and the volume-size distribution is described with two log-normal modes: a single mode to describe the accumulation mode particles (radius < 0.5 µm) and a single coarse mode to describe dust and/or salt particles (radius > 1.0 µm).\n\nThe quality assurance control of these products will be based on comparison with ground stations and climatology.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. \"\n\nShortname: MOD04_L2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 10 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE04 , File Naming Convention: MOD04_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Levy, R., Hsu, C., et al., 2015. MODIS Atmosphere L2 Aerosol Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MOD04_L2.061 , Keywords: Climate Change, Atmospheric Correction, Aerosol Optical Depth/Thickness " }, { "ob_id": 9491, "uuid": "a7903e97a36060690905243233909b1d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/08 over the Carboneras Inshore Waters Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9739, "uuid": "1136f4e7bd564f406c769c88eb6498d0", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/18 over the Conington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8707, "uuid": "7b9d7e8768912c6c26c5bd5c2f33da84", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/28 over the River Nith", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13676, "uuid": "7bad5dcee0514f8ab511181f7d59d057", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Europe", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 9735, "uuid": "6eba8e55b0d4b82cf2ef0e0b7dbd8437", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/17 over the Panshanger Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10171, "uuid": "6ee1750cca565017ec6bbe7d46a748e5", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/15 over the Sitia Area, Crete", "abstract": "ARSF project MC04/15: Coastal Marine Habitat Differentiation using Hyperspectral Remote Sensing Data. PI: Graham Ferrier. Site: Sitia" }, { "ob_id": 10725, "uuid": "aa12646d88e4d5d08d01766b00d35aea", "short_code": "ob", "title": "Data from the CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/08 over the Langjokull Area, Iceland", "abstract": "ARSF project IPY07/08: Mass Balance Modelling of Langjökull Glacier, Iceland; led by Dr. Ian Willis, Scott Polar Research Institute, University of Cambridge, Lensfield Rd, Cambridge CB2 1ER" }, { "ob_id": 8949, "uuid": "aa12c1b8f812c547c9a60bf93635c57c", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/12 over the Skipwith Common Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13678, "uuid": "70057c3172ea4c04b42bf48b3eda9870", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Global", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 10713, "uuid": "3774e86780956a29e1c33575888b6be6", "short_code": "ob", "title": "Data from the CASI-2, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/01 over the Kverkjokull Area, Iceland", "abstract": "ARSF project IPY07_01; led by Dr. Johnathan Carrivick (Univ. Leeds).\n\n Locations: Kverkjokull (Iceland), Volga-Skolpa outwash fan" }, { "ob_id": 10825, "uuid": "7bd28afb1afdf6980f2e9fcbaeede2ee", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/02 over the Difarsa Area, Nile Gorge, Ethiopia", "abstract": "ARSF project ET07/02: Correlating terrain systems and representative values – putting geotechnical numbers into geomorphological images. Led by: W. Murphy, School of Earth and Environment, University of Leeds. Leeds LS2 9JT, UK. Location: Nile Gorge, Ethiopia." }, { "ob_id": 9955, "uuid": "1394703d6c0b756b6fbf7637d075831b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/29 over the Furzebrook Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10701, "uuid": "b30490c666dd23b43789412183602a5c", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/03 over the Alem Tena Area, Ethiopia", "abstract": "ARSF project ET07/03: Mapping geothermal and epithermal deposits in the Ethopian Rift Valley. Led by: Dr. Graham Ferrier, Department of Geography, University of Hull, Hull, HU6 7RX. Location: Ethiopia." }, { "ob_id": 10785, "uuid": "ae771c264fa37089058d15b215214594", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/06 over the Konso Area, Ethiopia", "abstract": "ARSF project ET07/06: Land Use Patterns and Change in Konso, Ethiopia. Led by: Dr. Ian Willis, Scott Polar Research Institute, University of Cambridge, Lensfield Rd, Cambridge CB2 1ER. Location: Konso, Ethopia." }, { "ob_id": 9543, "uuid": "87219a11eb247f8d08dad715cc3a2e9e", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/17 over the River Ouse at York and Goole", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8684, "uuid": "b4419dbeaeaf317b4ca0b26ae39ed140", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8253, "uuid": "b4d92aef2611636e0ae42de3d5fa4900", "short_code": "ob", "title": "Landsat 7 data acquired by Landmap from Infoterra", "abstract": "Landsat 7 imagery was acquired by the Landmap project from Infoterra. Landsat 7 satellite is equipped with an Enhanced Thematic Mapper Plus (ETM+) instrument, developed by Raytheon Santa Barbara Remote Sensing in Santa Barbara, California. Imagery is available for the whole of the UK from 1999 to 2001 at 15m resolution for the panchromatic and 25m resolution for the band 1-3 and 1-7 GeoTiff images. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statements: Copyright University of Manchester/University College London Year 2001. Original Landsat 7 Distributed by Infoterra International." }, { "ob_id": 10340, "uuid": "86548b0a685ddb2d39ca6c43a881aa41", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/09 over the Houghton le Spring and New Biggin Areas", "abstract": "ARSF project 03/09 led by J. Mills . Site: Houghton le Spring, New Biggin." }, { "ob_id": 10392, "uuid": "b5e4d2cf65263ab62aea5e5b1c76474e", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/22 over the Polden Hills Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8731, "uuid": "7214f561a99be0b8197eaec944548c1b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/xx over the North West Norfolk Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 37840, "uuid": "ba5618b8ad6540c4b16df4877350464c", "short_code": "ob", "title": "Sentinel 5P: Cloud (CLOUD) level 2 data", "abstract": "This dataset contains data that can be used for cloud correction of satellite trace gas retrievals these include: cloud fraction, cloud optical thickness (albedo), and cloud-top pressure (height).\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). Cloud parameters from TROPOMI are not only used for enhancing the accuracy of trace gas retrievals but also to extend the satellite data record of cloud information derived from oxygen A-band measurements initiated with the Global Ozone Monitoring Experiment (GOME).\r\n\r\nThe TROPOMI/S5P cloud properties retrieval is based on the Optical Cloud Recognition Algorithm (OCRA) and Retrieval of Cloud Information using Neural Networks (ROCINN) algorithms currently being used in the operational GOME and GOME-2 products. OCRA retrieves the cloud fraction using measurements in the UV/VIS spectral regions and ROCINN retrieves the cloud height (pressure) and optical thickness (albedo) using measurements in and around the oxygen A-band at 760 nm. For TROPOMI/S5P we use OCRA/ROCINN Version 3.0, which is based on a more realistic treatment of clouds as optically uniform layers of light-scattering particles. Additionally, the cloud parameters are also provided for a cloud model which assumes the cloud to be a Lambertian reflecting boundary." }, { "ob_id": 9619, "uuid": "ba59bff38140a5aa4d731324684916db", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/20 over the Slapton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10884, "uuid": "998a28d8a5ed4564863a0daa0f731e8d", "short_code": "ob", "title": "NEXTMap British Digital Terrain (DTM) Model Data by Intermap", "abstract": "This dataset consists of the Digital Terrain Model data (DTM) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles." }, { "ob_id": 9451, "uuid": "bae619416a7767a53e5fe250d079e67b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/03 over the River Test", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9859, "uuid": "bb88c84154a96213da17da36408d1bcf", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/18 over the Dinnet Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32762, "uuid": "18851d1f4454455dad76141c02ad740e", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains level-2 Interferometric Wide swath (IW) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. These level 2 OCN products provide Ocean Wind field (OWI) and Surface Radial Velocity (RVL). \r\n\r\nThe OWI component is a ground range gridded estimate of the surface wind speed and direction at 10 m above the surface, derived from IW mode. The OWI component contains a set of wind vectors for each processed Level-1 input product. The norm is the wind speed in m/s and the argument is wind direction in degrees (meteorological convention = clockwise direction from where the wind blows with respect to the North). The spatial resolution of the SAR wind speed is 1km for IW mode.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 38310, "uuid": "3dfc1388681941cb973a0dbd6f3056f2", "short_code": "ob", "title": "Sentinel 5P: Tropospheric Ozone Column (O3_TCL) level 2 data", "abstract": "The TROPOspheric Monitoring Instrument (TROPOMI) tropospheric ozone product is a level-2c product that represents three days of averaged tropospheric ozone columns on a 0.5° by 1° latitude-longitude grid for the tropical region between 20°N and 20°S. The TROPOMI tropospheric ozone column product uses the TROPOMI Level-2 total OZONE and CLOUD products as input.\r\n\r\nThe TROPOMI instrument onboard the Copernicus Sentinel-5 Precursor is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth." }, { "ob_id": 8945, "uuid": "fea13fd837eb58faf95ca7660ad23841", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/01 over the Brooms Barn Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8832, "uuid": "18b122d1af72f5fa460fdd34ebcd331b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/xx over the Conington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9831, "uuid": "bc539b050b58ad0cb3ab18541d64e698", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/03 over the Oxford Flood Plain Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9327, "uuid": "bc3785f714ec4040033b2947837494db", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/02 over the River Ribble", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10043, "uuid": "3e32f67c06df822e4070d5364a4809cc", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/27 over the Strumpshaw, Hickling and Acle Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27730, "uuid": "bcbe8362169549d7bf839cd0f12ff1e6", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Reduced Resolution (ERR) level 1 data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Reduced Resolution (ERR) Level 1 data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. Reduced Resolution products are obtained by averaging the signal of a grid of 16 FR pixels (4 Along Track x 4 Across Track). For the normal orbit of Sentinel 3A the OLCI instrument provides a Reduced Resolution produced with a spatial resolution of approximately 1.2km with worldwide coverage every ~2 days.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 10609, "uuid": "51962ba7d591949ef084f1ad0790c198", "short_code": "ob", "title": "Data from the CASI-2, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/03 over 4 Welsh Sites", "abstract": "ARSF - GB07/03 project: Modelling Soil Hydrology and Biodiversity as Affected by Microtopography. Led by: Dr. John Scullion, Institute of Biological Sciences, Edward Llwyd Building, The University of Wales, Aberystwyth, Ceredigion, SY23 3DA. Location: Rhos, South Wales, UK." }, { "ob_id": 9567, "uuid": "75cb6ec092e26df6918e42b1d57b5b26", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/06 over the Montrose Basin Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26509, "uuid": "0b4390871dce48ce91bc9dcf42137600", "short_code": "ob", "title": "Sentinel 5P: TROPOspheric Monitoring Instrument (TROPOMI) level 1b Irradiance product UVN module data.", "abstract": "This dataset contains level 1B data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the European Space Agency (ESA) Sentinel 5P satellite. Sentinel 5P was launched on 13th October 2017. This satellite aims to provide atmospheric measurements relating to air quality, climate forcing, ozone and ultraviolet radiation. This data looks to build on the data from GOME, SCIAMACHY and OMI missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user." }, { "ob_id": 8921, "uuid": "1fd17098fd1a0b83b0e876bdfc1ec62f", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/15 over the Vale of Clwyd Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10380, "uuid": "7d501080e04ad351c72cb6ba8d2ed613", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/10 over the Tollesbury Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32798, "uuid": "4ecd5242cde24b2bb9c0572218da9861", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1A was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, { "ob_id": 7801, "uuid": "becade1abe4abbd8135bf9b938968cc1", "short_code": "ob", "title": "European Remote Sensing Satellite 1 (ERS-1): Synthetic Aperture Radar (SAR) data", "abstract": "The European Space Agency's Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites.\r\n\r\nThis dataset contains Synthetic Aperture Radar(SAR) data from the European Remote Sensing satellites ERS-1. \r\n\r\nThe ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing. SAR provides high resolution images, ocean wave spectra data and wind direction vector data. They are available through the NEODC to UK based students only." }, { "ob_id": 10067, "uuid": "028c3fab349ab26f3c0d2d2d44d51cc4", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/13 over the Portsmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10095, "uuid": "029813839400d76eb62fc3acf7dc19e2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/R5 over the Horsey Mere Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9691, "uuid": "bfc95da256359b7a867abfe88e4cb410", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/02 over the The Potteries Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10809, "uuid": "3e63042185e86afcbc205b280f8807b5", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB08/19 over the London Area", "abstract": "ARSF project GB08/19: Investigating the Urban Energy Balance of London. Led by: Prof. Martin Wooster, Environmental Monitoring & Modelling Research Group, Department of Geography, King's College London, Strand, London, WC2R 2LS, UK. Location: London, UK." }, { "ob_id": 10617, "uuid": "c0bf34571a04b8008ebf3b741adfc988", "short_code": "ob", "title": "Data from the Photographic Camera and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/07 over the Myrdalsjokull and Oraefajokull Areas, Iceland", "abstract": "Glacier response to a changing climate in southern Iceland. Led by Dr. David Graham, Department of Geography, Loughborough University, Loughborough, Leicestershire LE11 3TU." }, { "ob_id": 8367, "uuid": "7817708edce97e0be4a675cce0ba6a58", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 1B Version 3-30 Product (CAL_LID_L1-ValStage1-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 1B version 3-30 data product, which contains processed Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 0 Data and post processed ephemeris data, celestial data and converted payload status data. Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. The resulting changes are relatively small." }, { "ob_id": 10432, "uuid": "f1b17e8929d68de1143375fea24e0927", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 99/04 over the Lime Regis, The Pound, Eastbourne and Bembridge Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10175, "uuid": "33752ece5c309ef8af15b4449afc6a88", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/14 over the Cersosimo and Arpi Areas, Italy, and the Heslerton Area, UK", "abstract": "ARSF project MC04/14: Airborne thermography and spectral sensitivity analysis of the soil and soil-vegetation interface for archaeological prospection. PI: Daniel Donoghue. Sites: Cersosimo, Arpi, Heslerton" }, { "ob_id": 9151, "uuid": "aa60bb8e225b0c20e25a16f1913cfc88", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/51 over the Conway Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10472, "uuid": "c15f758494ba00ff1bb8b15c8cbf759e", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/44 over the Plymouth Algal Bloom", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10167, "uuid": "51d65b1be57bc95714a77530ad6b8a8a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/16 over the Khora Sfakion Area, Greece", "abstract": "ARSF project MC04/16 : Unravelling Long-term Deposition upon a tectonically active coastal piedmont at Sfakion in Southern Crete. PI: Graham Ferrier. Site: Khora Sfakion." }, { "ob_id": 8347, "uuid": "a8d4ca1867333274c7c0d215fb46fc71", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 5km Cloud Layer Version 3-30 Product (CAL_LID_L2_05kmCLay-Prov-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 5km cloud layer version 3-02 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 5 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provide a range of parameters including vertical profile of cloud layers and optical depth. Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. The resulting changes are relatively small." }, { "ob_id": 10585, "uuid": "51e3a28666659cccdd928f4d390d274b", "short_code": "ob", "title": "Data from the AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB08/11 over the Brooms Barn Area, to Validate Envisat MERIS Terrestrial Chlorophyll Index (MTCI) Data", "abstract": "ARSF project GB08/11: Validation Consolidation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI). Led by: Dr. Doreen Sandra Boyd, School of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, UK. Location: Brooms Farm, UK." }, { "ob_id": 13114, "uuid": "08fc9775b3954a719d4f093b59cf194d", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly data (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) monthly estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe monthly aggregate, a single product for each month, is calculated by determining the mean and the maximum of the weekly SWE samples.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 9067, "uuid": "7c2b00c4ae3491ed81ed21aa7649bbb5", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/10 over the Insh Marshes Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9695, "uuid": "08e0923c3d308b060434fe32653a89d7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/03 over the Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8780, "uuid": "c3aebafd3c4f438265b9e69ef32d2e1d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/23 over the Puerto Lumbreras, Embalse de Puentes and Las Palas Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8824, "uuid": "7e01fa08cfdda16a0a7d9b214e1a8c4d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/19 over the Thorney Island Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9603, "uuid": "7e4b157ed2e98a67c94e48dc73691069", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/13 over the Slapton Ley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10657, "uuid": "02a2941ec4105090baaf5873780570bd", "short_code": "ob", "title": "Data from the ATM AZ-16 Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/07 over the Esthwaite Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10107, "uuid": "7e0db5d9095ab014beb36b9576ca1ee4", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/26 over the Lathkill Dale Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10777, "uuid": "0b2b699ee482ca056abea9e375dd46f2", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/05 over the Mojo Area, Ethiopia", "abstract": "ARSF project ET07/05: Determining engineering parameters of expansive soils using an integrated airborne and field spectroscopy and geophysical dataset. Led by: Dr. Graham Ferrier, Department of Geography, University of Hull, Hull, HU6 7RX. Location: Mojo, Ethopia." }, { "ob_id": 8735, "uuid": "ca862f3d9c8b3b860d9001c6004dcf3a", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/09 over the Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke and Moor House Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10910, "uuid": "af743b462092a888e228bd1d7e0c2c4a", "short_code": "ob", "title": "MODIS Geolocation Data Set from the Terra Satellite (MOD03)", "abstract": "The MODIS Geolocation Data Set is a Level 1B product which contains geodetic coordinates, ground elevation, and solar and satellite zenith, and azimuth angle for each MODIS 1 km sample. These are determined from spacecraft attitude and orbit, instrument telemetry, and a digital elevation model. The primary purpose of this product is to help further processing the Level 1B calibrated radiances and the Level 2 data sets." }, { "ob_id": 19918, "uuid": "3fa1bf857a2b41c49284037c859b549d", "short_code": "ob", "title": "ESA Ozone Climate Change Initiative (Ozone CCI): ERS-2/ GOME Level 3 Tropospheric Tropical Ozone 1995-2011 V2.0", "abstract": "This dataset is a gridded 320x40km2 product with a temporal resolution of 3 days across the equator. \r\n\r\nThe data is calculated on a convective cloud differential (CCD) algorithm and averaged whereby only the position of the central coordinate is considered. \r\nThe tropospheric column can then be calculated by the difference between the stratospheric column and the total column. The stratospheric column being estimated as above the high reaching convective clouds (cloud cover >0.8 and >8km in height). To reduce the error above the clouds from up draught of tropospheric pollution a clean reference region 70°E to 170°W representitive of the latitude band. \r\n\r\nFor the Total column only cloud free observations are considered (<10%). This method assumes the stratospheric ozone is constant throughout each month and for one latitude band limit the CCD algorithm to the tropics (20°S to 20°N)." }, { "ob_id": 26499, "uuid": "aeb840c2e8994f12a22f3c49b46929d8", "short_code": "ob", "title": "Sentinel 5P: Ultraviolet (UV) Aerosol Index level 2 data", "abstract": "Sentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The Aerosol Index (AI) is a well-established data product that has been calculated for several different satellite instruments spanning a period of nearly 40 years. The S5P/TROPOMI aerosol index is referred to as the Ultraviolet Aerosol Index (UVAI). The relatively simple calculation of the Aerosol Index is based on wavelength dependent changes in Rayleigh scattering in the UV spectral range where ozone absorption is very small. UVAI can also be calculated in the presence of clouds so that daily, global coverage is possible. This is ideal for tracking the evolution of episodic aerosol plumes from dust outbreaks, volcanic ash, and biomass burning." }, { "ob_id": 8751, "uuid": "7ecbba9e712ccb481882a5a96157d0f8", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/16 over the Rodalquilar Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9179, "uuid": "cc81a77c2cb7af64722bf936a7b6e18c", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/34 over the Skomer Island, West Angle Bay, Freshwater West and Stackpole Quay Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9227, "uuid": "7f059a27c55a0fb6b97315d67114cc95", "short_code": "ob", "title": "Data from the Photographic Camera and CASI Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/05 over the Creuddyn Peninsula Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10051, "uuid": "cb338f8dc96102d52580ad75fa4682a3", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/32 over the Durham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10645, "uuid": "1d714f8698c6b0ba3b133d58f6993971", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 Aircraft during Flight GB08/15 over the Eaves Wood Area", "abstract": "ARSF project GB08 /15: Modelling gap microclimates in broadleaved deciduous forests using remotely sensed data. Led by: Dr. Alan Blackburn, Dept. of Geography, Lancaster University, Lancaster LA1 4YQ. Location: Eaves Wood, Staffordshire, UK." }, { "ob_id": 10260, "uuid": "cb57ca6baeced879657a4221c25fed41", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/10 over the Lakselv and Divadalen Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8760, "uuid": "84b5d7689c0c3827b2062b0e7deb062b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/29 over the Rodaliquilar and Carboneras Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10103, "uuid": "85301be613e6d24ab771396c58d4afe7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/25 over the Gower, Tawe Valley and Crai Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10821, "uuid": "f4f0aeadc20d4442aad15ae0a74dbd29", "short_code": "ob", "title": "Data from the Photographic Camera, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/03 over the Sandflug Area, Greenland", "abstract": "ARSF project IPY07/03: Contemporary spatial and temporal patterns of sediment supply, availability and Transport in proglacial aeolian systems. Led by Dr. Richard Hodgkins, Loughborough University (Leicester). Site: Sandflug, Greenland." }, { "ob_id": 10917, "uuid": "84898c2eeb91b9e3a9cd29ddf938665b", "short_code": "ob", "title": "AATSR: Multimission land and sea surface data, v1.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains version 1.1 AATSR Multimission land and sea surface temperature data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 8668, "uuid": "03659f01cb43e91e2c773d5b516aa2a3", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9891, "uuid": "8692db7f527f172dde9d95ed4480ac70", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/35 over the Barton Broad and Blewbury Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8189, "uuid": "86a063c7f894cd9eceb6e542888a13ea", "short_code": "ob", "title": "ENVISAT Advanced Synthetic Aperture Radar (ASAR) UK imagery", "abstract": "Data from the Advanced Synthetic Aperture Radar (ASAR) on-board ENVISAT are available for the UK from 2002-2009. The raw data for the alternating polarisation, wide swath and image modes were acquired by the Landmap project from ESA and processed to produce 8 and 32-bit greyscale and multi-difference colour composite geotiff images. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: © ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency" }, { "ob_id": 9299, "uuid": "86afcdafc5d063ff08985e75201f5f22", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/06 over the Rostherne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9815, "uuid": "d301d040e4ded02769bdf554263d8c81", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/41 over the Southampton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8917, "uuid": "86817e87c392f650c7319b232aa4321a", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/28 over the Helmsdale Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10444, "uuid": "86899b02aa751c5b156e7a0fcbe0ca00", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/38 for Atmospheric Tests", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13683, "uuid": "5998ab4fa492433eb0c2cda2ad4d29fc", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Lower North America", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 9091, "uuid": "d52b8308aea6e8977a83efbea511748a", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/05 over the Fife and Tayside Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10765, "uuid": "877978038ace67558b8d4291ad364d4c", "short_code": "ob", "title": "Data from the Optech LIDAR Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB06/05 over the Clocaenog Forest and Glasfyndd Forest Areas", "abstract": "ARSF Project GB06/05; led by Dr. Tim Malthus (School of Geosciences, University of Edinburgh), Clocaenog Forest (North Wales), Glasfyndd Forest (South Wales)." }, { "ob_id": 10886, "uuid": "b2e553261448fcbed284612e5b4bae58", "short_code": "ob", "title": "Data from AVHRR-3 at Metop-A for the Eumetsat Polar System Project", "abstract": "AVHRR-3 scans the Earth's surface in six spectral bands in the range of 0.58-12.5 microns, to provide day and night imaging of land, water and clouds and measurements of sea surface temperature, ice snow and vegetation cover. The instruments were provided by the National Oceanic and Atmospheric Administration (NOAA) and is flown on the EPS-METOP series of satellites\r\n\r\nThis dataset contains data from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on board the Eumetsat Polar System (EPS) MetOp-A satellite." }, { "ob_id": 10581, "uuid": "1a42bed724e23375540c6e2638eaf469", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/06 over the Humber-Wash Area, in support of the Land-Ocean Interaction Study (LOIS)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8392, "uuid": "7fa5b6824d4bff974251dfa073fd37df", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 1B Version 3-01 Product (CAL_LID_L1-ValStage1-V3-01)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 1B version 3-01 data product, which contains processed Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 0 Data and post processed ephemeris data, celestial data and converted payload status data. In version 3-01, L1B product uses enhanced daytime calibration, updated laser energy calculation algorithm, corrections to the CALIPSO orbit tracks and updated parameters." }, { "ob_id": 9087, "uuid": "03b1b91b27621e749f04b39991017802", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/14 over the Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10661, "uuid": "e3ac9e2b43c849026c2ecce3216c6588", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/10 over the Bristol Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8033, "uuid": "e4fb80f4ddeec0948a03c1baa1710301", "short_code": "ob", "title": "SCIAMACHY: Level 2 vertical columns of trace gases products version 5.02", "abstract": "Level 2 data (vertical columns of trace gases) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). SCHIAMACHY was one of the ten instruments on-board the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002. Envisat was operated by the European Space Agency (ESA) until May 2012. SCIAMACHY was used to provide global measurements of trace gases in the troposphere and the stratosphere. These data are calculated using the radiance observations and known absorption spectra of such gases. Fully reprocessed Level 2 data is available, with samples of near-real-time (nrt) and consolidated (result of a first processing by ESA to eliminate bad data and perform a few basic checks) data." }, { "ob_id": 10131, "uuid": "0c7419d5bca123ac71d4dbc9e87bee83", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/test over the Conington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9435, "uuid": "cc1d4cbba0c78c470b8d6bddc2c38197", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/08 over the Ullswater Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9671, "uuid": "0cd72e1f1847da9ce39fc22810bba4c8", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/39 over the Nottingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9459, "uuid": "8022edcfe6b86d59968c968a4107992b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/07 over the Shuttleworth Farm Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13685, "uuid": "23ea668948594ca2a609213449331a83", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Northern Africa", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 10163, "uuid": "ec5f5604878450502e83d52ddac8a470", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/20 over the Spilimbergo Area, Italy", "abstract": "ARSF project MC04/20: Hydroecological dynamics of large floodplain rivers Fiume Tagliamento, NE Italy. PI: Geoffrey Petts. Site: Spilimbergo." }, { "ob_id": 9013, "uuid": "80987ff3e83c1128594ace8dad9c4458", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/26 over the Strath Oykel Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9323, "uuid": "52415547b3266ccac460781ffbe4a085", "short_code": "ob", "title": "Data from the Photographic Camera, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/01 over the Caldicot Levels Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 26440, "uuid": "887a695bf0b24f5590097a16c42604d6", "short_code": "ob", "title": "Sentinel 5P: Total column ozone (O3) level 2 data", "abstract": "Sentinel 5P total column ozone products contain total ozone, ozone temperature, and error information including averaging kernels. These data products are provided in a 7km x 3.5km resolution. \r\nOzone (O3) is of crucial importance for the equilibrium of the Earth's atmosphere. In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but at high concentrations, it also becomes harmful to the health of humans, animals, and vegetation. Ozone is also an important greenhouse-gas contributor to ongoing climate change. Since the discovery of the Antarctic ozone hole in the 1980s and the subsequent Montreal Protocol regulating the production of chlorine-containing ozone-depleting substances, ozone has been routinely monitored from the ground and from space. For TROPOMI/S5P, there are two algorithms that will deliver total ozone: GDP for the near real-time and GODFIT for the offline products. GDP is currently being used for generating the operational total ozone products from GOME, SCIAMACHY and GOME-2; while GODFIT is being used in the ESA CCI and the Copernicus C3S projects." }, { "ob_id": 10232, "uuid": "050d027c37b6169ccd6bba989ca34f42", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/16 over the Gulfaske, Albrecht, Slakbreen, Bakaninbreen, Midrelovenbreen, Austrbrogger, Finsterwalderbreen, Fridtjonbreen and Koristka Areas, Svalbard, for the Norwegian Polar Institute", "abstract": "ARSF project 03/16 led by Tavi Murray. Sites: NPI, Gulfaske, Albrecht, Slakbreen, Bakaninbreen, Midrelovenbreen, Austrbrogger, Finsterwalderbreen, Fridtjonbreen, Koristka." }, { "ob_id": 10031, "uuid": "ec7ddbbda6022a22169ffba638b42847", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/22 over the Holderness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9863, "uuid": "526ca171015c1625b5b5939e3fbe5442", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/20 over the Duddon Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10641, "uuid": "526d29e416d7f2e50877a5cd12cd959d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/R1 over the Thetford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9907, "uuid": "52c3b413c5110f8425692e72f9f6d69a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/05 over the Swansea Bay and Bosherston Lakes Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10669, "uuid": "04f962bb3e57f6d52c24a12381dd624a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/02 over the Thingvallavatn Area, Iceland", "abstract": "ARSF project IPY07/02: Lava penetrating water; led by Dr. Neil Mitchell (SEAES, University of Manchester); Site: Nesjahraun, Thingvallavatn, Iceland" }, { "ob_id": 8614, "uuid": "051cdaeffee9a0405e0f202784d3ca5a", "short_code": "ob", "title": "Data from the CASI-2 Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB2004/21 over the Chilbolton Area", "abstract": "ARSF project GB2004/21: Airborne Ozone LIDAR Validation Study. PI: Jim McQuaid. Site: Chilbolton." }, { "ob_id": 9383, "uuid": "c46632062888ebfeddab8fd11854f4a6", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/22 over the Blackbrook Catchment Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8377, "uuid": "059a3472517e0ca941a3aa41c4ffd72b", "short_code": "ob", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Aerosol Profile Version 3-02 Product (CAL_LID_L2_05kmAPro-Prov-V3-02)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 Aerosol Profile Version 3-02 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product with uniform horizontal resolution of 5 km and ancillary data. There are no layer descriptors included in the datasets, and the spatial distribution of the aerosol layers depends on the aerosol layer fraction and atmospheric volume description parameters. The aerosol backscatter and extinction coefficients are obtained through the CALIPSO Lidar Ratio selection algorithm. Version 3-02 marks the transition to a new cluster computing system without any changes in the algorithm used in version 3-01. The resulting impact on the products are very minor." }, { "ob_id": 32422, "uuid": "05a18921d3a44c89a9158809fd813eb3", "short_code": "ob", "title": "MOD09A1 - MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD09A1\n\n\n\n\n\nShortname: MOD09A1 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: 8 day , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE21 " }, { "ob_id": 13433, "uuid": "05abb473ecfb4a64b44b6af9fcbc481d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/38 over Crymlyn Bog", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9375, "uuid": "424f62277fc5e2b71781edacad4634a6", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/16 over the Isle Of Grain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9455, "uuid": "425a0e3a1ade4871c5ecc31cc4b2daac", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/05 over the Rivers Ythan, Eden, Lune, Dyfi, Alde, Deben, Swale, Tamar and Plym. Auchencaird, Foryd and Swansea Bays. Duddon, Artro and Mawddach Estuaries. Cromarty, Montrose Basin, Tyningham, Breydon Water, Blyth, Pagham Harbour and Hayle Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9587, "uuid": "52ee76e4d291db3ed4c11768d9077816", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/35 over the River Severn", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10829, "uuid": "dc6ee6180519d29aea5d66d49aafaa92", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/01 over the South Nottingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8812, "uuid": "35355924565183b5263002b24cc5ffef", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9679, "uuid": "42722eeae2d95da9ac3c93f1bc7aae91", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/42 over the Grafham Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13115, "uuid": "0710e8e5e584473fb292bb69b7fbf8a7", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Weekly aggregated data (1979-1994)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) 7-day estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE) were calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans)\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 32424, "uuid": "4bc9628787174d9198f0d4dc153b15c4", "short_code": "ob", "title": "MOD09GA - MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD09GA\n\n\n\n\n\nShortname: MOD09GA , Platform: Terra , Instrument: MODIS , Processing Level: Level-2 Tiled , Spatial Resolution: 500 m, 1 km , Temporal Resolution: daily , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE13 " }, { "ob_id": 9231, "uuid": "4bd5a1d15bb291cbe1959dea0a81f311", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/14 over Stonton Brook and the River Welland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10681, "uuid": "e0529c0ee2f0545a32a9dbced3ebfd42", "short_code": "ob", "title": "Data from the Optech LIDAR and AISA Eagle Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/04 over the Hayton Area", "abstract": "ARSF project GB07/04: Hayton Remote Sensing project. Led by: Dr. Peter Halkon, Dept of History, University of Hull, Hull HU6 7RX. Location: Hayton, East Yorkshire, UK." }, { "ob_id": 10468, "uuid": "33808ee07e707a52c06675d2da2bda20", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/39 over the Thorney Island Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10240, "uuid": "3575a89f1f7c0a1579238b6927d442ad", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/04 over the Midrelovenbreen Area, Svalbard, for the Norwegian Polar Institute", "abstract": "ARSF project 03/04 led by Neil Arnold. Site: Midrelovenbreen, NPI." }, { "ob_id": 8836, "uuid": "9a9e228433a1a02dc2592af65146406f", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/25 over the Charmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19025, "uuid": "99180e6c305744be9b5e73b7a0e4b324", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3A the OLCI instrument provides a spatial resolution of 300m with worldwide coverage every ~2 days.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files." }, { "ob_id": 9307, "uuid": "99d02d33c0ba5be20c713b3646517036", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/11 over the Dee Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8182, "uuid": "5a3972cf97ef749479738d9ed16db73f", "short_code": "ob", "title": "European Remote Sensing (ERS) Satellites 1 & 2 UK radar data", "abstract": "Active Microwave Instrument - Synthetic Aperture Radar (AMI-SAR) data from the European Remote-Sensing satellites 1 and 2 between 1995 and 1999 were acquired by the Landmap project from QinetiQ and are available for large areas of the UK. Data from the individual satellites are available, but also coherence images from when both satellites were operational and orbiting in tandem, which show the difference between two images in the time between both satellites passing over (around 1 day). The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Original ERS data ERS data copyright ESA 1999/2000 (year of acquisition). Received and Distributed by QinetiQ under licence from the European Space Agency" }, { "ob_id": 9711, "uuid": "5a4e9ef0eb9e108c6f15356358922106", "short_code": "ob", "title": "Data from the Photographic Camera and ATM instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/07 over the Whitsand Bay and Exe Estuary Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9575, "uuid": "252f556b3016e116e6ca2f150cf876dd", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/18 over the Llyne Brianne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9427, "uuid": "00e0f26c80bef38746594ecec9a904ea", "short_code": "ob", "title": "Data from the CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 95/26 over the Shuttleworth Farm Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9371, "uuid": "07c1da32ae388e9323ece23665427fb2", "short_code": "ob", "title": "Data from the Photographic Camera, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/14 over the Bradgate Park, Beacon Hill, Warren Hills and Charnwood Forest Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8727, "uuid": "020ab269a0a3d9f25f26b56fa39d20af", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/06 over the Conington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8142, "uuid": "fcf76f049fc4ef9e263aafedc76259d5", "short_code": "ob", "title": "AATSR: L3U Product (AATSR L3U) sea surface temperature values, v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) sea surface temperature values on ESA ENVISAT satellite L3U product. These data are newly introduced product in the third reprocessing of (A)ATSR multimission data.\r\n\r\nIt is produced by the new ARC L2P processor version 1.2 that also produced the new L2P data. The L3U product is produced through averaging the L2P data onto a regular grid at 30 arcminute resolution. Hence, the L3U product is similar to the AST/METEO product." }, { "ob_id": 9033, "uuid": "5ac2b8840549f6af7a478eeb35933cd4", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/47 over the Norwich Strumpshaw Marsh Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9851, "uuid": "4c8b2379ff7cf46fdf8a838275b0f4c2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/14 over the Ripon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9995, "uuid": "5ac8a75e2907eaa1d1b66553829cbbfc", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/10 over the Swansea Bay and Bristol Channel Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10151, "uuid": "088e99d5ef5d8ee85858571dca0046cf", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/29 over the Venice Area, Italy", "abstract": "ARSF project MC04/29: Quantitative Assessment of Optically Derived Properties from CASI and ATM for Optical modelling in the Venice Lagoon and Messina Straits. PI: Simon Boxall. Site: Venice." }, { "ob_id": 10087, "uuid": "089e276ce13161eb513d5da585c00e96", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/43 over the Chatteris Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9935, "uuid": "08cf0f5400411ca99b375a28186b2518", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/16 over the Didcot Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10512, "uuid": "252775ca4a89628785eb07b529f902dd", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/04 over the Cors Caron Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12301, "uuid": "90de599e45a84d36a16cf01904048705", "short_code": "ob", "title": "NEXTMap British Orthorectified Radar Image (ORI) Data by Intermap", "abstract": "This dataset consists of the Orthorectified Radar Image (ORI) from the NEXMap British Digital Terrain Model project produced by Intermap. These data have a 1.25m spatial resolution available over the British Isles." }, { "ob_id": 8074, "uuid": "514e5dfbef651f336862ae5ca0424e86", "short_code": "ob", "title": "AATSR: Sea Surface Temperature Meteo Product (ATS_MET_2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Spatially Averaged Sea Surface Temperature Product for Meteo Users. These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product. \r\n\r\nThe product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 10344, "uuid": "5b6d17979f3f5a90e5b4ccb08e91f2f1", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/18 over the Calstock and Plymouth Areas", "abstract": "ARSF project led by S.Lavender. Site: Calstock, Plymouth (hi/lo)." }, { "ob_id": 8711, "uuid": "4ce5998d58a8db8ae966a5ff15a169dc", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9563, "uuid": "31c42307e105abec4076bdc7053c853a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/02 over the Moor House Nature Reserve", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9363, "uuid": "c18ddc456fa431271e660df7c6d2d70c", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/10 over the Tabernas Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.\r\nThis flight was also previously labelled 96/12." }, { "ob_id": 10625, "uuid": "445bd339417ff1a6b579a45e98be0720", "short_code": "ob", "title": "Data from the Photographic Camera and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/04 over the Westfjords Area, Iceland", "abstract": "ARSF project IPY07/04: Investigation into the Processes Controlling Debris Flows in the Westfjords Region, Iceland. Led by Dr. John Murray, Dept. of Earth Science, The Open University, Walton Hall, Milton Keynes MK7 6AA." }, { "ob_id": 12434, "uuid": "f4545eca3bf343a8acbeb4f71b1f2e72", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v7 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 7.1 data. Improvements with respect to the previous version 5.06 data include a new offset validation algorithm, addition of alignment matrix correction and scan mirror non-linearity correction in geolocation pointing, a new spike detection and correction algorithm, enabling of generation of Optimised Resolution (OR) products from Full Resolution (FR) products for the FR acquisition period, and an update of the format function for the number of sweeps per scan. Data are from 1st July 2002 to 8th April 2012." }, { "ob_id": 10220, "uuid": "6dc09482be5d9425dd97e24881ec9b05", "short_code": "ob", "title": "Data from the Rollei Digital Camera, Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during flight 04/16 over the Norfolk Broads Area", "abstract": "ARSF project 04/16: Characterising the photoautotrophic response to the spatiotemporal variability in underlying environmental conditions in shallow eutrophic lakes through airborne remote sensing. PI: Andrew Tyler. Site: Norfolk Broads." }, { "ob_id": 10099, "uuid": "996e80d0391e3209b0117fcfea7b7103", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/02 over the Chepstow and Thetford Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9247, "uuid": "a2527bfaa98e462d800665744917b96b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/21 over the Faringdon Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10753, "uuid": "fd0a72c0bf7fec642d39f4fa06005e48", "short_code": "ob", "title": "Data using the Optech LIDAR Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB01/22 over the Brancaster Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10717, "uuid": "271697fcc97ee73787d009e639cbc00a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB05/03 over the Newcastle, River Ouseburn and Harwood Areas", "abstract": "ARSF project GB05/03: Retrieval of structural and biochemical parameters from multiangle, multispectral airborne data. PI: Matt Disney. Site: Newcastle, River Ouseburn, Harwood." }, { "ob_id": 10204, "uuid": "dff457d1d7bb2e86f7daae24e90bca8e", "short_code": "ob", "title": "Data from the Rollei Digital Camera, Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during flight GB05/01 over the Edinburgh and Glasgow Areas", "abstract": "ARSF project GB05/01 : The application of airborne remote sensing techniques in archaeology: a comparative study. PI: William Hanson. Sites: Edinburgh, Glasgow." }, { "ob_id": 19676, "uuid": "0473312cdc5748edb4c98da4a2553a91", "short_code": "ob", "title": "MEdium Resolution Imaging Spectrometer (MERIS): Level 2 reprocessed retrieved parameters products", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.\r\n\r\nThis dataset contains Level 2 retrieved parameters MERIS product." }, { "ob_id": 13465, "uuid": "5293dc2838294c409986526a17837d0d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/11 over the Morales Basin Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12307, "uuid": "86ff73ef1b8c4fda83959694360622bd", "short_code": "ob", "title": "NEXTMap British Enhanced Digital Terrain (DTME) Model Data by Intermap", "abstract": "This dataset consists of the Enhanced Digital Terrain Model (DTME) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles, but have been manually edited to remove embankments etc.)." }, { "ob_id": 9715, "uuid": "a1f21cced0637d723f5e30ff54c3326c", "short_code": "ob", "title": "Data from the photographic camera and ATM instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/09 over the Tamar Valley area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32381, "uuid": "051d6075847747329a987b2175f2affc", "short_code": "ob", "title": "MCD19A2 - MODIS/Terra+Aqua Land Aerosol Optical Depth Daily L2G Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD19A2\n\n\n\n\n\nMCD19A2 is the shortname for the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm-based Level-2 gridded (L2G) aerosol optical thickness over land surfaces product. Derived using both Terra and Aqua MODIS inputs, this L2 product is produced daily at 1 km pixel resolution. This product helps generate a number of atmospheric and geometric properties/parameters that are used to produce another facet of the MAIAC algorithm: the land surface Bidirectional Reflectance Factor.\n\nThe MCD19A2 product contains two data groups with the following Science Data Set parameters:\n\nGrid500m groupAerosol Optical Depth at 047 micronAerosol Optical Depth at 055 micronAOD Uncertainty at 047 micronFine-Mode Fraction for OceanColumn Water Vapor in cm liquid waterAOD QAAOD Model (Regional background model used)Injection Height (Smoke injection height over local surface height)Grid5km groupCosine of Solar Zenith AngleCosine of View Zenith AngleRelative Azimuth AngleScattering AngleGlint Angle\n\nThe MCD19A2 product has achieved Stage-3 validation.\n\nShortname: MCD19A2 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-2 Tiled , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE113 , File Naming Convention: MCD19A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Alexi Lyapustin - NASA GSFC, Yujie Wang - Univeristy of Maryland Baltimore County and MODAPS SIPS - NASA. (2015). MCD19A2 MODIS/Terra+Aqua Aerosol Optical Thickness Daily L2G Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD19A2.006 , Keywords: Atmospheric Correction, MODIS, MAIAC, Bidirectional Surface reflectance, Aerosols " }, { "ob_id": 8857, "uuid": "a274cb2c3ff584e6ffe50d98f6a930e4", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/xx over the South Downs Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9315, "uuid": "538ae8fc67de6f6a99ba1ea2d9752776", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/16 over the Warren Hills, Beacon Hill and Bradgate Park Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10416, "uuid": "a2cdd88052aca539a6baecc135efc4cc", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/43 over the Berwyn Mountains Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8981, "uuid": "f7c160918be10b9eecd23427cd614ab7", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/02 over the Rothamsted Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9579, "uuid": "53cdac7ac348b1b910836ae8e47bdcab", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/25 over the Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10348, "uuid": "5402c0b7b69314357925a82047bbf357", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/31 over the Kelso Area, for Time Team", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10709, "uuid": "53b204a3d509aa8fdf02e3a7bc7f349f", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 99/09 over the Pilsey Sands Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9547, "uuid": "45c884736637a2b7e9a4a60b2661461f", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/18 over the Dudley and Queslett Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10480, "uuid": "f827aae973f16aaf54788377da199915", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/34 over the Borgarfjordur Area, Iceland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10179, "uuid": "a6f8f6e904072b3c9ddf85d69910b4d3", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/10 over Milos Island, Greece", "abstract": "ARSF project MC04/10: Hydrothermal vent activity from airborne remotely-sensed data. PI: Paul Dando. Site: Milos." }, { "ob_id": 9647, "uuid": "f8989db4c65ed2df7c2d553e1cca8d6c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/30 over the St. Abbs Head and Bell Rock Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12436, "uuid": "0c9e286726bd46eca52d9dc39245fcb3", "short_code": "ob", "title": "MIPAS ENVISAT Level 1b data (July 2002 up to April 2012) IPF v4 data", "abstract": "Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 4 data. Latest release is IPF v4.67. Data are from 1st July 2002 to 8th April 2012." }, { "ob_id": 8953, "uuid": "5cd8d2689ac6aa6d5a7ef588ae9bbfd8", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/29 over the Avon Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13464, "uuid": "4603c0ca50a34deeb648c091a64f6e5d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/03 over the Folkstone Warren Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10284, "uuid": "f91615615bd5dc06762a0105e1358e8f", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/17 over the Manchester Area, in support of the Adaption Strategies to Climate Change in the Urban Environment (ASCCUE) Project", "abstract": "ARSF project 04/17: Assessment of Thermal Conditions in Urban Morphology Types in Greater Manchester. PI: S. Pauleit. Site: Manchester." }, { "ob_id": 9939, "uuid": "a8150556e908afd00f390d0d78480a4e", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/17 over the Blewbury Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9675, "uuid": "464a7c22bf11cc76296748760a327c1c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/41 over the Welland Valley and Nene Valley Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9879, "uuid": "46571bf2aeb3b635f6b9d452f3a87d34", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/28 over the New Forest, Yateley Common, Broxhead Common and Burghclere Common Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10376, "uuid": "54fc8c69b342eae4a0e07ef567adf488", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/09 over the Coombe Barton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10276, "uuid": "5d9aeafe26dc62d4749803360027ae90", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/11 over the Plymouth Area", "abstract": "ARSF project 04/11: Mapping of bio-geo-physical parameters in the coastal waters of Plymouth. PI: S. Lavender. Site: Plymouth." }, { "ob_id": 10601, "uuid": "2f7bb1d5f94dc41fbcb0124a0aa96f66", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB04/03 over the Huntington Area", "abstract": "ARSF project GB04/03: Influence of habitat structure and composition on energy expenditure and overall reproductive rate of woodland bird species. Led by: Shelly Hinsley. Location: Huntingdon, Cambridgeshire, UK." }, { "ob_id": 10312, "uuid": "5da7c0eb125e8b0f7df142adb9736c54", "short_code": "ob", "title": "Data from the CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/19 over the Collazzone Area, Italy", "abstract": "ARSF project MC04/19: A study of landslide failure mechanisms and their relationship to topography: Collazzone, central Umbria, Italy. PI: Niels Hovius. Site: Collazzone, Umbria Italy." }, { "ob_id": 13112, "uuid": "552cdad62fd14f54ba8ddbab38977cbc", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3A Daily data (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) daily estimates for the Northern Hemisphere for the years 1978-2014. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 10781, "uuid": "a9c5754cf95d94a67957abe0f9defac1", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/09 over the Krafla Area, Iceland", "abstract": "ARSF project IPY07/09: The relationship between faulting and magmatism in the Krafla rift segment, Iceland. Led by: Dr. Tim Wright, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT. Location: Krafla Glacier, Iceland." }, { "ob_id": 9959, "uuid": "e08efc712346e187daccc8afffd8c582", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/31 over the Sutton Bonington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10268, "uuid": "25b62839584219fcb3137e06f88eff12", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/05 over the Harwood Forest Area", "abstract": "ARSF project 04/05: Retrieval of structural and biochemical parameters from multiangle multispectral airborne data over conifer stands. PI: M.Dysney. Site: Harwood Forest." }, { "ob_id": 9635, "uuid": "322e24ded7be7e640c0c223ae2b3be13", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/25 over the Plymouth Sound Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32391, "uuid": "55aa94abf6bf40fab87143f24849ac89", "short_code": "ob", "title": "MOD021KM - Level 1B Calibrated Radiances - 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD021KM\n\n\n\n\n\n\"The MODIS Level-1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 µm to 14.4 µm region of the electromagentic spectrum. These data are generated from MODIS Level-1A scans of raw radiance, and in the process are converted to geophysical units of W/(m2µm sr). In addition, the Bidirectional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data.\n\nVisible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.\n\nThe resolution of channels 1 and 2 is 250 m, channels 3 through 7 are 500m resolution, and the rest are 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1 km resolution. Thus, the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for just the 250 m channels (MOD02QKM) and the 500 m channels (MOD02HKM) that preserve the original resolution of the data.\n\nSpatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and the respective pixels there, the resulting resolution at the scan extremes is about 2 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width with global coverage every one to two days. A single MODIS Level-1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of 1354 by 2030 pixels, resulting in a spatial coverage of 2330 km by 2030 km. Due to the MODIS scan geometry, there will be increasing overlap occurring beyond about a 25 degree scan angle.\n\nUsers requiring the full-resolution geolocation and solar/satellite geometry can obtain the separate MODIS Level-1 Geolocation product (MOD03) from LAADS.\"\n\nShortname: MOD021KM , Platform: Terra , Instrument: MODIS , Processing Level: Level-1B , Spatial Resolution: 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE02 , File Naming Convention: MOD021KM.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf AYYYYDDD = Acqusition Year and Day of Year HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time YYYYDDD = Year and Day of Year of acquisition , Citation: MODIS Characterization Support Team (MCST), 2017. MODIS 1km Calibrated Radiances Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MOD021KM.061 , Keywords: Climate Change, Radiance " }, { "ob_id": 9267, "uuid": "aae5ca1cb9653c3c43e9a0b1eef5e0e5", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 95/15 over the Bondone Area, Italy", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8747, "uuid": "ab124f3a464e3556376c55a35845434b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/test over the Storebaelt Bridge Area, Denmark", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27450, "uuid": "fb629f940ef84efba012e7e29c831d66", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar: Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, { "ob_id": 10749, "uuid": "abd0fd04da7d1d7222d7eba316e11792", "short_code": "ob", "title": "Data from the ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight NL08/01 over the Cabauw Area, The Netherlands, in support of the European Integrated Project on Aerosol Cloud Climate Air Quality Interactions (EUCAARI) Cloud Radiation Interaction Study (CRIS)", "abstract": "ARSF project NL08/01: EUCAARI-Cloud Radiation Interaction Study (EU-CRIS). Led by: Prof. Hugh Coe, University of Manchester, SEAES, Simon Building, Oxford Road, Manchester, M13 9PL, UK. Location: Cabauw, The Netherlands." }, { "ob_id": 9055, "uuid": "fb5188be8f00e4b2481f305b2d6a7ea4", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/05 over the Rotterdam Area, North Sea", "abstract": "2015-11-20: Data found to be corrupt from Siddal reprocessing pipeline\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10091, "uuid": "987c3bc0cdeda959d257c300de3063cf", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/R4 over the Theobalds Park Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9655, "uuid": "28890ccf48b928dcdf4af431bf872a0a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/34 over the Slapton Ley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10705, "uuid": "28711f2af7aac4bdcbf9a814811e882f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/17 over the Barnham and Thetford Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8869, "uuid": "28834a6ae46632aaa791181cf86969e5", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 92/21 over the River Severn, Caersws Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10721, "uuid": "c1848edf1ac0be88e84a3d7857c9bb42", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight IPY07/06 over the Breidamerkurjokull Area, Iceland", "abstract": "Ice dynamics, calving and recession at Breidamerkurjökull, Iceland. Led by Dr. Adrian Luckman, Department of Geography, Swansea University, Swansea, SA2 8PP." }, { "ob_id": 9311, "uuid": "c36234ff060ed4dcf43ee0350bf172aa", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/14 over the Whiteford Burrows and Kenfig Burrows Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9175, "uuid": "56688a3ef9b071c4309379a54f821335", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/16 over the Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9615, "uuid": "4790025e77439c15200b0ee07073cccf", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/19 over the Slapton Ley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9431, "uuid": "feea4d7150cad9719f2721b8813a24ca", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/03 over the Llyne Brianne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9045, "uuid": "56741909380663673fa9a63316723779", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/24 over the Windermere Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8820, "uuid": "ff05cd1b2f7dc993832875dfa1b8ea2c", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/09 over the Kilham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8768, "uuid": "ff08b66570e2690196f1ae8f22189fe1", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/34 over the Lake Vrywny Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8816, "uuid": "568d35cab1b5ebb0ac995ce661125fd0", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/xx over the Llyn Brianne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10969, "uuid": "0e615d55cb6264d8e0cb7453e18ccbfb", "short_code": "ob", "title": "MISR Level 2 Aerosol Parameters V002 (MIL2ASAE)", "abstract": "Aerosol data including aerosol optical depth, aerosol physical model, ancillary meteorological data, and related parameters, obtained from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra." }, { "ob_id": 10797, "uuid": "7b845c1ff0c76b13c2f0c59b59944667", "short_code": "ob", "title": "Data from the CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 95/13 over the Guadalfeo River Basin, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13680, "uuid": "5695d617367d417bbf00ce2cce6d8740", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: India", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 10115, "uuid": "568a4afd2e908bf827813c4b635cdf93", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/39 over The Severn Estuary and The Wash", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9083, "uuid": "c9801ca1c2c5d468b501166048c07dbd", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/17 over the Belper Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9099, "uuid": "ffad2bd6e7b92d767474920b50ac10fd", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/07 over the Bell Rock Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32413, "uuid": "56b3282c25604434bc1417ab70ba9c79", "short_code": "ob", "title": "MYD11A1 - MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD11A1\n\n\n\n\n\nThe MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. The MODIS/Aqua LST/E Daily L3 Global 1 km SIN Grid,(Short name: MYD11A1), is a gridded version of the L2 Daily LST/E data set, whose LSTs are retrieved by the split-window algorithm.\n\nThe Collection-4 (C4) LST/E L3 MYD11A1 product inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The band 31 and 32 emissivities are estimated by a classification-based emissivity method, which relies on the pixel's land cover type as determined by the land and snow cover inputs. Until June 2001, the AVHRR-based IGBP land cover product was used. Following that time, MODIS-derived land cover product was used. The estimated emissivities in arid and semi-arid areas are potentially uncertain, and users are advised to exercise caution in their applications. The day/night alogorithm extracts average temperatures (in Kelvin) and applies them to a pair of MODIS daytime and nighttime observations. This method yields 1 K accuracy for materials with known emissivities. The V4 MYD11A1 product has a temporal acquisition range of February 24, 2000 (2000-055) until January 3, 2007 (200-003). The C4 collection remains consistent with C41, and users may combine the two collections in a time-series analysis.\n\nThe MODIS/Aqua Collection 41 (C41) products use a modified Collection-4 (C4) LST algorithm and Collection-5 (C5) data inputs. The C41 products primarily address underestimation problems in the C5 Climate Modeling Grid (CMG) products. Recent validation activities reveal that the C5 CMG products underestimate LSTs up to 6K especially in desert and semi-arid regions. The availability of this collection starts with MODIS/Aqua data acquisition on January 1, 2007 (2007-001). This date is driven by the availability of the MODIS C5 data inputs (level-1B radiance data, geolocation data, cloud mask, atmospheric profiles, and land and snow cover data).\n\nThe MODIS/Aqua C5 LST/E L3 Global 5 km Grid product incorporates 1-km pixels, which are produced daily using the generalized split-window LST algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The C5 MYD11_L2 product's acquisition range started March 5, 2000 (2000-065) and will continue until some time after the C6 reprocessing is complete.\n\nThe C41 and C5 MODIS/Aqua LST/E products, including the MYD11A1, are validated to Stage-2 with well-defined uncertainties over a range of representative conditions. Further details regarding MODIS land product validation for the LST/E products are available from the MODIS land team validation site referenced under 'Val Status' section.\n\nThe C41 LST products from 2007-001 will remain consistent with similar products from C4, and hence are amenable to combine them in a time-series analysis. Users should exercise caution, and not mix the C4.x (i.e., C4 and C41) and C5 LST products in their analyses.\n\nShortname: MYD11A1 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE16M , File Naming Convention: MYD11A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MYD11A1 MODIS/Aqua Land Surface Temperature and the Emissivity Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MYD11A1.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires " }, { "ob_id": 10400, "uuid": "49002168a18e6f7da22e6c87bb3d36fb", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/29 over the Harper Adams Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32387, "uuid": "48efa9b67d69435caffd2d06cf8406d3", "short_code": "ob", "title": "MCD43A3 - MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A3\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) Albedo product (MCD43A3) provides 500-meter data describing both directional hemispherical reflectance (black-sky albedo) and bihemispherical reflectance (white-sky albedo). The MCD43A3 product contains 16 days of data provided in a level-3 gridded data set in Sinusoidal projection.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A3 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A3.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A3 MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD43A3.006 , Keywords: Climate Change, Albedo, Reflectance " }, { "ob_id": 9919, "uuid": "989551b8b5f32ea89e1a479f77d9343e", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/11 over the Ballater Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8961, "uuid": "d0cc4b2d964480c4f48c296d0f78717c", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/37 over the Southampton Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12315, "uuid": "56ba0755afc54c1ba88e1ca73dcf2df5", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): SM mode SLC Level 1 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nStripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing.\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 8804, "uuid": "ca081e9333dc7ad953faa99d1e07167d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/34 over the Lake Vrywny Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9771, "uuid": "d0d9aed08623f42cc53ffcddef237f72", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/08 over the West Solent Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9351, "uuid": "e1262bf7b7825245558c7cf18bcf4399", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/03 over the River Ythan and Montrose Basin Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10532, "uuid": "79397a050808bde1c4b57c0ff7875646", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 00/23 over the Wye Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8784, "uuid": "01fd3df8edde2222ebb64a7ae0cce9a6", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/28 over the Las Palas and Puerto Lumbreras Areas, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9495, "uuid": "795497f45a71718fd12d6b0168f42256", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/22 over the Cabo de Gata Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9475, "uuid": "37fd303cc5448400b87a0355e4a87bef", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/20 over the Folkestone Warren Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9419, "uuid": "2f047294ef0ea52674660cd19a939310", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/23 over the Denny Lodge Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25821, "uuid": "5732da3b616843b19db7ff69598abf2c", "short_code": "ob", "title": "ARSF Flight 2012_249 - for RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Hawk, ARSF Specim AISA Eagle and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_249).\r\n\r\nData were collected over the Luton, UK area.\r\n" }, { "ob_id": 32401, "uuid": "d65aab04c69b4df391e6e7fc4b901aef", "short_code": "ob", "title": "MOD13A2 - MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD13A2\n\n\n\n\n\nGlobal MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices.\n\nThe MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products providing continuity for time series applications over this rich historical archive. MODIS also includes a new Enhanced Vegetation Index (EVI) product that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically-corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows.\n\nGlobal MOD13A2 data are provided every 16 days at 1-kilometer spatial resolution as a gridded level-3 product in the Sinusoidal projection. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes, including primary production and land cover conversion.\n\nCollection-5 MODIS/Terra Vegetation Indices products are Validated at Stage 2, meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Although there may be later improved versions, these data are ready for use in scientific publications.\n\nShortname: MOD13A2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 16 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE35 , File Naming Convention: MOD13A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Kamel Didan - University of Arizona, Alfredo Huete - University of Technology Sydney and MODAPS SIPS - NASA. (2015). MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD13A2.006 , Keywords: Climate Change, Canopy Characteristics, Biomass, Vegetation Index, Plant Phenology, Length of Growing Season " }, { "ob_id": 9059, "uuid": "e13cb43795d155456253fdcf6dffe435", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/29 over the Anglesey Area", "abstract": "2015-11-20: Ed Williamson attempted to obtain data from the Siddal reprocessing pipeline, but no data found from old tape deposits.\r\n\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13448, "uuid": "052e159e975844bf8c2445223a53eb5b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/23 over Tay Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12309, "uuid": "884e63e1c8e8476d8174825741e60f6a", "short_code": "ob", "title": "Intermap NEXTMap British Data by OS Grid Tile", "abstract": "This dataset links together all NEXTMap products by OS Grid tile - e.g. the sn60 directory brings together links various products from the OS Grid covering the Bristol Channel. These data products are on various resolutions and include the following products:\r\n\r\nDifference model (dsm - dtm) Data\r\nDigital Surface Model (DSM) Data \r\nDigital Terrain 10m resolution (DTM10) Model Data \r\nDigital Terrain 50m resolution (DTM10) Model Data \r\nDigital Terrain (DTM) Model Data \r\nEnhanced Digital Terrain (DTME) Model Data\r\nOrthorectified Radar Image (ORI)" }, { "ob_id": 10597, "uuid": "05d48b6179f0b92883542e75b4c04f8e", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/21 over the Rutland Water Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9991, "uuid": "3256d414f2f2117be134bd31c7ad1179", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/08 over the Theale Area, Reading", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 5680, "uuid": "b2f21e4972c90504ed837367b06acc91", "short_code": "ob", "title": "Polar Pathfinder Sampler (PPSM): AVHRR Polar Pathfinder 1.25 km data (1978-1996)", "abstract": "The AVHRR Polar Pathfinder 1.25 km data set provides information about polar climate and geophysical processes at the highest practical spatial and temporal resolution. For the first time, daily composites of AVHRR-collected cryospheric variables are compiled at a resolution suitable for regional and local monitoring, and process studies, of changing surface conditions such as sea ice formation, sea ice motion and ice sheet extent. The higher resolution provides the closest link between field data and the greater perspective afforded by a satellite view.\r\n\r\nProducts include daily sea-ice motion vector fields and twice-daily composited images of albedo, skin surface temperature, and the calibrated and geolocated AVHRR channel data used to generate them. Products are mapped to the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid, Armstrong and Brodzik 1995). Spatial coverage includes both hemispheres, extending poleward of 50 degrees N and 53 degrees S latitudes. Temporal coverage begins September 1993 and extends through the present (1998). Plans are to continue acquisition and processing for 18 months after the Moderate Resolution Imaging Spectrometer (MODIS) becomes operational.\r\n\r\nFor this AVHRR Pathfinder demonstration, three regions have been selected from 1997 Northern Hemisphere composites to correspond to areas of active field programs and ongoing research. These areas, the Surface Heat Budget of the Arctic Ocean (SHEBA) study region in the Beaufort Sea, the ETH/CU Camp in western Greenland, and Point Barrow, Alaska, cover the main polar surface types: sea ice cover, permanent ice sheets, and polar lands. Time-series visualizations are provided rather than a sample of the data product, to conserve space on the CD-ROM." }, { "ob_id": 9443, "uuid": "00ac5978d92dde14f8138cb719c368eb", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/10 over the Garboldisham and Hambledon Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 7817, "uuid": "01160c6f494f98c6aa938b2695f84de5", "short_code": "ob", "title": "ENVISAT satellite: Advanced Synthetic Aperture Radar (ASAR) data", "abstract": "The European Space Agency's Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites.\r\n\r\nThis dataset contains Advanced Synthetic Aperture Radar(ASAR) data from the European Remote Sensing satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat. \r\n\r\nThe ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing. SAR provides high resolution images, ocean wave spectra data and wind direction vector data. They are available through the NEODC to UK based students only." }, { "ob_id": 9731, "uuid": "d94cc82ddfd6b802870f79025c40c0f6", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/16 over the Sennybridge Range Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10516, "uuid": "b81b2790604a63d782fc6643b24685a5", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/15 over the New Forest Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8648, "uuid": "5ee9bf65437913e1c1719c85ed0c0be8", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Calibration Flight 03/cal over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9571, "uuid": "5f0e4d8e3f1ff1721104292f574913ce", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/17 over the Cwm Dyli Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9659, "uuid": "75a73ebe82339d014546d78a41576387", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/35 over the Snowdonia Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10352, "uuid": "5f48957dcd8be576351430e1b82cd01b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/03 over the Blackbrook Catchment Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10015, "uuid": "2949be56ff6dc0bfff020c837c0f4fa6", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/15 over the Anglesey Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8680, "uuid": "75d21a8e82174bae6c91ff816e085fdf", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/42 over the Millingerwaard Area, Netherlands", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27469, "uuid": "19a97e70e5a848ddaebac0243ff41684", "short_code": "ob", "title": "Sentinel 5P: Sulphur Dioxide (SO2) Total Column level 2 data", "abstract": "This dataset contains total column Sulphur Dioxide (SO2) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite. \r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI instrument is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth.\r\n\r\nSulphur dioxide (SO2) enters the Earth’s atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term pollution to effects on climate. Only about 30% of the emitted SO2 comes from natural sources; the majority is of anthropogenic origin. SO2 emissions adversely affect human health and air quality. SO2 has an effect on climate through radiative forcing, via the formation of sulphate aerosols. Volcanic SO2 emissions can also pose a threat to aviation, along with volcanic ash. S5P/TROPOMI samples the Earth’s surface with a revisit time of one day with an unprecedented spatial resolution of 3.5 x 7 km which allows the resolution of fine details including the detection of much smaller SO2 plumes.\r\n\r\nBesides the total column of SO2, enhanced levels of SO2 are flagged within the products. The recognition of enhanced SO2 values is essential in order to detect and monitor volcanic eruptions and anthropogenic pollution sources. Volcanic SO2 emissions may also pose a threat to aviation, along with volcanic ash." }, { "ob_id": 6585, "uuid": "1a439a72375d942e3f41034edafba1f7", "short_code": "ob", "title": "Along Track Scanning Radiometer (ATSR-1) data from the European Remote Sensing satellite (ERS-1)", "abstract": "An infra-red radiometer capable of measuring sea surface temperature to better than 0.3K. The cd-rom dataset consists of two data products: (a) Spatially averaged sea surface temperatures (ASSTs) and (b) Time averaged global maps. The ASSTs are provided daily in half-degree cells together with temporal and positional information. The data cover the period August 1991 to July 1995. " }, { "ob_id": 10693, "uuid": "416e6b07d620b6fed8c03e01a9e2be3e", "short_code": "ob", "title": "Data from the Optech LIDAR and AISA Eagle Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/04 over the Afar Province, Rift South, Ethiopia", "abstract": "ARSF project ET07/04: The Hararo Rift Segment in the Afar Triple Junction, and geohazards in the Afar capital, Semara. Led by: Dr. Tim Wright, School of Earth and Environment, University of Leeds, Leeds, UK. Location: Afar Province, Northern Ethiopia." }, { "ob_id": 10019, "uuid": "53a84e02237f40743ba5817da4fc7041", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/16 over the Cumbria Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19030, "uuid": "341ac8194a5c4559ab8828ccbb4a0be5", "short_code": "ob", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 2 data", "abstract": "This dataset contains data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user in the UK." }, { "ob_id": 9503, "uuid": "7617f45ca8606b06dd80c346fb8900f0", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/30 over the Embalse de Iznajar Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10159, "uuid": "761a96bba8d7d25400b896c106281a4f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/24 over the Nepi Area, Italy", "abstract": "ARSF project MC04/24: Mapping the lower Tiber catchment. PI: Simon Stoddart. Site: Nepi." }, { "ob_id": 32767, "uuid": "76202b367af44b82a1c7ba1d1a39e7b9", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 0 data", "abstract": "This dataset contains level 0, raw Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data were archived as a test - CEDA does not regularly archive these products.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 8877, "uuid": "a3d3f79885390506185a7b3690752357", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/31 over the Stour Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10304, "uuid": "0cc0a8fba6e34290ca7c0cd2c1b5a686", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/03/12 over the Spilli, Mires, Plakiotissa and Zaros Areas, Greece", "abstract": "ARSF project MC04/03/12: 3-D structural characteristics and biological evalutation of Cretan olive groves (Olea europaea) using airborne LiDAR and VIS/NIR imaging. PI: Harriet Allen. Sites: Spilli, Mires, Plakiotissa, Zaros." }, { "ob_id": 32415, "uuid": "dfa34fb44ba649bf91397ff5a3eeae49", "short_code": "ob", "title": "MYD11A2 - MODIS/Aqua Land Surface Temperature/3-Band Emissivity 8-Day L3 Global 1km SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD11A2\n\n\n\n\n\nThe level-3 MODIS Land Surface Temperature and Emissivity (LST/E) 8-day data products are composed of data from the daily 1-kilometer LST product (MYD11A1) and stored on a 1-km Sinusoidal grid as the average values of clear-sky LSTs during an 8-day period.\n\nMYD11A2 is comprised of daytime and nighttime LSTs, quality assurance assessment, observation times, view angles, bits of clear sky days and nights, and emissivities estimated in Bands 31 and 32 from land cover types.\n\nCollection-5 MODIS/Aqua Land Surface Temperature/Emissivity products are validated to Stage 2, which means that their accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Further details regarding MODIS land product validation for the LST/E products are available from the following URL: http://landval.gsfc.nasa.gov/ProductStatus.php?ProductID=MYD11.\n\nShortname: MYD11A2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE31 , File Naming Convention: MYD11A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MYD11A2 MODIS/Aqua Land Surface Temperature and the Emissivity 8-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MYD11A2.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires " }, { "ob_id": 8241, "uuid": "7ab8a717cb371584966f80a023d7eab7", "short_code": "ob", "title": "UK Landsat 4/5 imagery acquired by Landmap from Infoterra", "abstract": "Raw Landsat 4/5 data covering the UK were acquired from Infoterra by the Landmap project. Landmap subsequently orthorectified and mosaiced the images. Two types of image data from the satellite are available for the UK from 1988 to 1992: MultiSpectral Scanner (MSS) and Thematic Mapper (TM). Landsat 4 and 5 carry both the MSS and the TM sensors; however, routine collection of MSS data was terminated in late 1992. The MSS and TM sensors primarily detect reflected radiation from the Earth's surface in the visible and near-infrared (IR) wavelengths, but the TM sensor with its seven spectral bands provides more radiometric information than the MSS sensor. The Landsat Program is one of the longest running programmes for image acquisition from space, first launched in 1972 the program is managed between the U.S. Geological Survey (USGS) and NASA. Eight satellites have so far been launched, the most recent being Landsat 8, on February 11th, 2013. Landsat satellite imagery offers a unique resource for global change research and applications in agriculture, geology, forestry, regional planning, education, and national security. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Original Landsat 4 & 5 Landsat data copyright NOAA. Distributed by CHEST under licence from Infoterra International." }, { "ob_id": 19036, "uuid": "3510f90e4a7c4447b37d07fa61703870", "short_code": "ob", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data", "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature, active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 8852, "uuid": "600d78086a845465a779725ee4067387", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/RT over the River Tay", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8428, "uuid": "1105a30c49a01dde0032515cadb056ad", "short_code": "ob", "title": "Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Level 1B data", "abstract": "4km resolution Global Area Coverage (GAC) Advanced Very High Resolution Radiometer (AVHRR) Level 1B data are available from 1978 - 2013 for the whole globe from NOAA satellites 06 through 12, 14 through 19 and Tiros-N, and from Metop A and B." }, { "ob_id": 9703, "uuid": "0352ffbf7461fb723391d5e361e65569", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/05 over the Ash Ranges Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9483, "uuid": "602a5b1469497329eb9f73ed0d009aeb", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/24 over the Teesmouth Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9867, "uuid": "1210d1fef6d48a4ce62626d04662df03", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/21 over the Holderness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9595, "uuid": "a4009d837a1eaebab49e9251409bf4d5", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/05 over the Castle Donington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13687, "uuid": "1f61866afdf848349df7eabbc6ba2c07", "short_code": "ob", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Southern Africa", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image." }, { "ob_id": 8957, "uuid": "1f7a8c0e606d63b33a1700ad9847d16e", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/30 over the Irish Sea", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10653, "uuid": "60591e575a4334d370e304e3bd724a89", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/21 over the Loch Ard and Loch Achray Areas", "abstract": "ARSF project 03/21 led by T. Malthus. Site: Loch Ard/Achray." }, { "ob_id": 9999, "uuid": "b8708aedc76639d7d389d0a96892945c", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/11 over the New Forest", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10817, "uuid": "89ece2e7efd2ad8f25fb8644ab189e09", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/05 over the Loch Leven, Windermere and Esthwaite Water Areas", "abstract": "ARSF project GB07/05: Strategies to manage toxic cyanobacterial blooms in lakes: remote sensing, modelling and cost benefit analysis. Led by: Dr. Andrew Tyler, SBES, University of Stirling, Stirling, Scotland, FK9 4LA. Location: Loch Leven, Scotland, UK." }, { "ob_id": 7798, "uuid": "93725f5bda271cb38404c6515b8191da", "short_code": "ob", "title": "L1b AVHRR-3 Radiometric imager data onboard MetOp-B", "abstract": "Data from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on board the Eumetsat Polar System (EPS) MetOp-B satellite.\r\nAVHRR-3 scans the Earth's surface in six spectral bands in the range of 0.58-12.5 microns, to provide day and night imaging of land, water and clouds and measurements of sea surface temperature, ice snow and vegetation cover. The instruments were provided by the National Oceanic and Atmospheric Administration (NOAA) and is flown on the EPS-METOP series of satellites.\r\n The NEODC currently archives the L1B data, which were acquired directly from EUMETSAT." }, { "ob_id": 13438, "uuid": "0a2dde790b5f433a88ba8c805a992647", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/39 over Cricklade", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10737, "uuid": "60b09926f23257d7b3f5b6a116fda455", "short_code": "ob", "title": "Data from the AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight BGS07/01 over The San Domingos Mine", "abstract": "RSF - BGS07/01 project. Monitoring the former Sao Domingos mine with respect to contamination patterns derived from waste mining materials and related Acid Mine Drainage (AMD). Lead by Dra. Lidia Quintal, Instituto Nacional de Engenharia, Tecnologia e Inovacao & Claire Fleming, British Geological Survey, Keyworth (Nottingham NG12 5GG)." }, { "ob_id": 10408, "uuid": "222867edd7bd49202c076c0d1006b8f6", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/31 over the Rothamsted Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9167, "uuid": "14da785cf01bee2e3e7acaced5a3c4c1", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/12 over the Hunterston Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9707, "uuid": "60f3e4b3e76f8c7907abe3c6019d5619", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/06 over the Plymouth Sound Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9391, "uuid": "612e22a4470d5411ddf4345037c0a8f2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/23 over the Goss Moor Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9479, "uuid": "187b2151fe13bfb8ded8a8a2bb753577", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/23 over the River Lavant", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8610, "uuid": "e5938408feda66eb33be96b4159d1dfd", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB05/15 over the Fingringhoe Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9235, "uuid": "190541d39cd5131510fcd42025307610", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/18 over the Newbiggin Crag Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9111, "uuid": "23870da5482cd42a5baafa82e06a0eb1", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/31 over the Guiting Power Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10456, "uuid": "8b60521d6542221121e930b0c1c0c9a1", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/26 over the Mocatan Catchment Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10248, "uuid": "23e37b1d2880970f50ac6e8a76a0d403", "short_code": "ob", "title": "Data from the Rollei Digital Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during flight 01/12 over the Llangattock and Ripon Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13430, "uuid": "9b75602848554d5db9dc925c60f5f615", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/18 over Lands End, Lizard", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9643, "uuid": "a4e805ce3da6faa12eb3a02e9544fbce", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/29 over the Wylfa Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10605, "uuid": "1c138a7626d81a76f5db59accdaace9a", "short_code": "ob", "title": "Data from the Photographic Camera, Optech LIDAR and AISA Eagle and Hawk Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight ET07/07 over the Lake Tana Area, Ethiopia", "abstract": "ARSF project ET07/07: Late Pleistocene desiccation of Lake Tana, Source of the Blue Nile. Led by: Dr. Charles Bates, School of Geography and Geosciences, University of St Andrews, St Andrews, Fife, UK. Location: Blue Nile." }, { "ob_id": 8543, "uuid": "1d700e888e08a686f302ba31572429de", "short_code": "ob", "title": "MIPAS ENVISAT Level 2 data (July 2002 - March 2004) Processor version IPF v4", "abstract": "Level 2 processing consolidated and reprocesses data from July 2002 to March 2004 from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by the European Space Agency (ESA)." }, { "ob_id": 10448, "uuid": "618b94ba634098db03c57e660614c06e", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/19 over the Grimsvotn Area, Icelane", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9255, "uuid": "685448770e7d8291b7176041427cb6a5", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/03 over the River Severn", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10308, "uuid": "0034f44f14bb64040ec706e6a427f279", "short_code": "ob", "title": "Data from the CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/12 over the Spilli, Mires, Plakiotissa and Zaros Areas, Greece", "abstract": "ARSF project MC04/12: High resolution remote sensing of NDVI gradients on the slopes of Mt. Psiloritis in South Central Crete. PI: Bernard Devereux. Sites: Spilli, Mires, Plakiotissa, Zaros." }, { "ob_id": 10003, "uuid": "1f42e17460f9bdbc6e734b29ee280af2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/12 over the Coed-y-Brenin Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10027, "uuid": "1fc5484d11ecf391064765c5afc35247", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/21 over the Braunton Burrows Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9871, "uuid": "25770ded082dda47354f2387b2ae4760", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/25 over the Bawtry Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9025, "uuid": "e8751b8ba86b895e58aa9db5c3996c92", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/test over the Kidlington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9895, "uuid": "29bc726a806efcb6cccce234f857f55b", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/42 over the Nantlle Ridge Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9779, "uuid": "b9c127493030b6805fd5473fd470d3a1", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/26 over the Llyn Brianne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8764, "uuid": "25cb8a0521e7f21952ee044e458e6320", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/30 over the Coto Donana Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8905, "uuid": "96183d6da2250674020a00ffb03b86a3", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/12 over the Broadbalk Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10063, "uuid": "173e1b0a26e1428b811f54d1d0f23590", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 83/02 over the Gedney Hill Area", "abstract": "2015-11-20: Ed Williamson attempted to obtain data from the Siddal reprocessing pipeline, but no data found from old tape deposits.\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9607, "uuid": "961b06305e2232acb9ed3abf1ebe87ec", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/14 over the Cwm Dyli Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9095, "uuid": "25da8a0e17f04475138253f6870e2694", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/06 over the North Sea, Teeside and Humberside Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8772, "uuid": "0051e2bf410f0a43a8d507b7334c0dd6", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 93/05 over the Portugos Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9823, "uuid": "0054d66e48540ebc3cde9fcf7df342b5", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/59 over the Royal Aircraft Establishment in Farnborough", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27489, "uuid": "29e8c659fdec4217b47399bc5c19dd54", "short_code": "ob", "title": "Meteosat (MSG) Seviri Land Surface Temperature from the Land Surface Analysis Satellite Applications Facility (LSASAF) version 3.0", "abstract": "The Satellite Application Facility (SAF) on Land Surface Analysis (LSA) is part of the SAF Network, a set of specialised development and processing centres, serving as EUMETSAT (European organization for the Exploitation of Meteorological Satellites) distributed Applications Ground Segment. The SAF network complements the product-oriented activities at the EUMETSAT Central Facility in Darmstadt. The main purpose of the LSA SAF is to take full advantage of remotely sensed data, particularly those available from EUMETSAT sensors, to measure land surface variables, which will find primarily applications in meteorology (http:/lsa-saf.eumetsat.int)\r\n.\r\nThe spin-stabilised Meteosat Second Generation (MSG) has an imaging-repeat cycle of 15 minutes. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer embarked on the MSG platform encompasses unique spectral characteristics and accuracy, with a 3km resolution (sampling distance) at nadir (1km for the high-resolution visible channel), and 12 spectral channels." }, { "ob_id": 10573, "uuid": "22b3b4441fd227081eaa2cc9ee65ccea", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 00/28/NL over the Ooster-/Westerschelde and Bommende Areas, Netherlands", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32780, "uuid": "9cafde3874d54e2794fcfb372311883e", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 1 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains level 1 Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nThe IW SLC product contains one image per sub-swath, per polarisation channel, for a total of three or six images. Each sub-swath image consists of a series of bursts, where each burst was processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image, with black-fill demarcation in between\r\n\r\nUnlike SM and WV SLC products, which are sampled at the natural pixel spacing, the images for all bursts in all sub-swaths of an IW SLC product are re-sampled to a common pixel spacing grid in range and azimuth. The resampling to a common grid eliminates the need for further interpolation in case, in later processing stages, the bursts are merged to create a contiguous ground range, detected image.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 10336, "uuid": "96457bef3c05a12990b48ba5e175e1a6", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/03 over the Llangattock Plateau Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9747, "uuid": "e8c4d59764cf6cd82c63627922107bac", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/24 over the Devoke Water, Wast Water, Seathwaite Tarn, Levers Water and Wet Sleddale Areas (Lake District)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8108, "uuid": "e05b507ee79b11cf8c12486ae9ac5404", "short_code": "ob", "title": "AATSR: Gridded Brightness Temperature/Reflectance (GBTR) product (ATS_TOA_1P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. \r\n\r\nThe product is calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product is derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 9331, "uuid": "2e2ec967816dfee3b54ae2cbbae6dd1b", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, ATM and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/05 over the Wroxeter Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9199, "uuid": "b8df3216e1d8cc0b0a3641bff0caa7ac", "short_code": "ob", "title": "Data from the Photographic Camera, CASI, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 98/08 over the Bosworth Field Area", "abstract": "Flights during 1998 used the photographic camera, CASI-1 and ATM AZ-16 instruments on-board the Piper PA31 Navajo Chieftain G-NERC aircraft. Flights during 2002 were with the photographic camera, ATM AZ-16 and CASI-2 instruments on the Dornier Do228-101 D-CALM aircraft." }, { "ob_id": 8339, "uuid": "9de2a7566f88ce68250f6a9dae02df5b", "short_code": "ob", "title": "MEdium Resolution Imaging Spectrometer (MERIS): Level 1B reprocessed radiance product", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.\r\n\r\nThis dataset contains Level 1B reprocessed radiances MERIS product." }, { "ob_id": 10316, "uuid": "9e0c48b8a709f48ea60226cd2af34604", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/21 over the Kameni and Santorini Islands, Greece", "abstract": "ARSF project MC04/21: A digital elevation model for the Kameni Islands. PI: D. Pyle. Site: Kameni Island, Santorini." }, { "ob_id": 12324, "uuid": "2826e79cfbc94aa28fccfbe1cfb16dac", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) Medium Resolution (MR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) Medium Resolution (MR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 9215, "uuid": "283f53a1fdd506cd13d7256d4c1d378d", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/13 over the Holderness and Immingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10199, "uuid": "9dbae329e731b76dff3dcd7d7c529aa0", "short_code": "ob", "title": "Data from the Rollei Digital Camera, Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during flight GB05/02 over the Dee Estuary", "abstract": "ARSF project GB05/02: Air-sea and Sediment processes within the Hilbre Coastal Observatory. PI: Alex Souza. Site: Dee Estuary." }, { "ob_id": 32426, "uuid": "9dc47e606d50479bbe81872308679ca4", "short_code": "ob", "title": "MYD09A1 - MODIS/Aqua Surface Reflectance 8-Day L3 Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD09A1\n\n\n\n\n\nShortname: MYD09A1 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: 8 day , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE21 " }, { "ob_id": 13444, "uuid": "9e6942c3b35a47cabc91ff41a9653324", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/41 over Swindon (test)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9887, "uuid": "629e78efd7f5d85961ff61daf9056bd2", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/33 over the Strathy, Pollie Hill, Rimsdale, Poulray and North Dalchork Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12323, "uuid": "c634826aeca248d09d0e03e3a0cd97e4", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Stripmap (SM) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) High Resolution (HR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was lanched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 10577, "uuid": "cc2e0719b2b047dd13c1375d52058324", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 00/06 over the Westerschelde Area, Netherlands", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13172, "uuid": "9edbe5a1f7f5496cbc5863e53335b4a9", "short_code": "ob", "title": "Sentinel 2A Multispectral Instrument (MSI) Level 1C data", "abstract": "This dataset contains Top-of Atmosphere (TOA) reflectances in cartographic geometry (level 1C) processed data, from the Multispectral Instrument (MSI) aboard the European Space Agency (ESA) Sentinel 2A satellite. Sentinel 2A was launched on 23rd June 2015 and provides multispectral images of the earth’s surface as a continuation and enhancement of the Landsat and SPOT missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user in the UK.\r\n\r\nCEDA have switched to provide Sentinel 2 data for the UK and Dependencies along with data needed per project basis as of April 2019. Please contact us if you need data outside these areas and we will see what we can do." }, { "ob_id": 10528, "uuid": "afdd649c10e4fdece9455f4527fcf686", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/03 over the Crowmarsh Gifford Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8039, "uuid": "629f2e217e5a0df690cce2029b968da7", "short_code": "ob", "title": "Level1b GOME-2 data onboard MetOp B", "abstract": "Data from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-B satellite. GOME-2 is a spectrometer that measures both the radiance component of the light reflected by the Sun-illuminated Earth's atmosphere and the direct sunlight. The measurements are used to obtain detailed information on global trace gas distributions of ozone, nitrogen dioxide, water vapor, bromine oxide and other trace gases as well as aerosol properties. The NERC Earth Observation Data Centre (NEODC) currently holds Level 1B data, and obtained the data directly from Eumetsat." }, { "ob_id": 9631, "uuid": "9f0521c265cdcc995547e004292267df", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/23 over the Severn Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9223, "uuid": "b241063cad3ba06bd59b2fa1c2ed566f", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/19 over the Trough of Bowland, Wet Sleddale and Auchencarroch Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8605, "uuid": "cc6667594524567e5983e60ae1dd901d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB05/16 over the Birmingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9899, "uuid": "d08d236fc134cdb525e7a9c84d4109fa", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/46 over the River Esk", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8632, "uuid": "2ec76fed8a28e699625c17acc43cf303", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Test Flight 04/999 over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9719, "uuid": "62a8a3f8d30eed9f41e80951be5b0fa7", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/11 over the Newborough Warren Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9075, "uuid": "afee74b0c4a70c22a8a5a75bfcc346a0", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/10 over the North Dartmoor Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10224, "uuid": "aff371b94070a9920afe5e6a0993bd00", "short_code": "ob", "title": "Data from the CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/03 over the Sheffield, Cardiff and Cambridge Areas", "abstract": "ARSF project 04/03 - Woodland bird habitat quality: The costs of living in fragmented habitat. PI: Shelly Hinsley. Site: Sheffield (08-aug-2005), Cardiff (14-jun-2004), Cambridge (30-mar-2004)." }, { "ob_id": 9943, "uuid": "9fc8a9840b6b100e1110b3c8e448a09a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/24 over the Bury St. Edmunds and Brooms Barn Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10212, "uuid": "a037faef8ca5f24d5739c65cc5dd0218", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB03/13 over the Wytham Woods Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10039, "uuid": "2f82e83b702ce6fc7342a763d8183e92", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/25 over the Theobalds Park Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 20015, "uuid": "96de05733b5d464885da0e1495626f7f", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Single Look Complex (SLC) Level 1 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was lanched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nThe IW SLC product contains one image per sub-swath, per polarisation channel, for a total of three or six images. Each sub-swath image consists of a series of bursts, where each burst was processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image, with black-fill demarcation in between\r\n\r\nUnlike SM and WV SLC products, which are sampled at the natural pixel spacing, the images for all bursts in all sub-swaths of an IW SLC product are re-sampled to a common pixel spacing grid in range and azimuth. The resampling to a common grid eliminates the need for further interpolation in case, in later processing stages, the bursts are merged to create a contiguous ground range, detected image.\r\n\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 9807, "uuid": "96e07ad3144a4932c48d26c4a306827a", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/39 over the Blewbury and Barton Broads Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 37838, "uuid": "300559d22d9549049017f06bf38db929", "short_code": "ob", "title": "Sentinel 5P: Formaldehyde (HCHO) Total Column level 2 data", "abstract": "This dataset contains total column Formaldehyde (HCHO) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth. In addition to the main product results, such as HCHO slant column, vertical column, and air mass factor, the level 2 (geolocated total columns) data files contain several additional parameters and diagnostic information.\r\n\r\nFormaldehyde is an intermediate gas in almost all oxidation chains of Non-Methane Volatile Organic Compounds (NMVOC), leading eventually to CO2. NMVOCs are, together with NOx, CO, and CH4, among the most important precursors of tropospheric O3. The major HCHO source in the remote atmosphere is CH4 oxidation. Over the continents, the oxidation of higher NMVOCs emitted from vegetation, fires, traffic and industrial sources results in important and localised enhancements of the HCHO levels." }, { "ob_id": 10902, "uuid": "29f8759618bc0cea2ca3fd46468b57e7", "short_code": "ob", "title": "MODIS Surface Reflectance Product from the Aqua Satellite (MYD09)", "abstract": "The MODIS Surface Reflectance Product from the Aqua satellite is a level 2 data product derived from 7 spectrum bands (bands 1-7 each centred at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively) from the Level 1B product. The product estimates the surface spectral reflectance as it would have been measured at ground level in the absence of atmospheric scattering or absorption. Corrections to account the effect of atmospheric gases, aerosols and thin cirrus clouds are made by using level 1B, other level 2 and level 3 products, and if necessary also climatology. Both the MOD09 dataset from the Terra satellite and the MYD09 dataset from the Aqua satellite are produced using the same processing system." }, { "ob_id": 8933, "uuid": "29f995a15bd6b5e29d984e5053959f4d", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/34 over the Skelmersdale Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 13542, "uuid": "977ab7f3767346dd9311a0c57a608054", "short_code": "ob", "title": "European Space Agency (ESA) GlobSnow L3A STD of daily Snow Water Equivalent (SWE) Estimates (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) daily standard errors (Variance estimates) for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction." }, { "ob_id": 9463, "uuid": "c51cdcdee58c314f292b17488ab52b07", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/11 over the Wolverhampton Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9355, "uuid": "cd31c6110618065d0a08016d22eb5944", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 96/04 over the Kinloch, Kintail and Kingussie Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10119, "uuid": "e94984d9cd9c421a8e38fe672d636354", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Scottish Aviation Twin Pioneer Aircraft during Flight 82/40 over the Norton Lindsey Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10135, "uuid": "c6f2ac755f6fa781d9b2bac75b5e7072", "short_code": "ob", "title": "Data from the Photographic Camera and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/33 over Mount Etna Volcano, Italy", "abstract": "ARSF project MC04/33: Lidar validation campaign for AVTIS measurements on Etna volcano. PI: Geoff Wadge. Site: Etna." }, { "ob_id": 8993, "uuid": "a19581f118aae9b6b088e7548e828e3b", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/30 over the Snowdonia and Aber Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19923, "uuid": "a1bcaef6eeec446b9226479c9e8e2948", "short_code": "ob", "title": "ESA Ozone Climate Change Initiative (Ozone CCI): METOP-A/GOME-A Level 3 Tropospheric Tropical Ozone 2013-2014 V2.0", "abstract": "This dataset is a gridded 80x40km2 product with a temporal resolution of daily across the equator. \r\n\r\nThe data is calculated on a convective cloud differential (CCD) algorithm and averaged whereby only the position of the central coordinate is considered. \r\nThe tropospheric column can then be calculated by the difference between the stratospheric column and the total column. The stratospheric column being estimated as above the high reaching convective clouds (cloud cover >0.8 and >8km in height). To reduce the error above the clouds from up draught of tropospheric pollution a clean reference region 70°E to 170°W representitive of the latitude band. \r\n\r\nFor the Total column only cloud free observations are considered (<10%). This method assumes the stratospheric ozone is constant throughout each month and for one latitude band limit the CCD algorithm to the tropics (20°S to 20°N).\r\n\r\nGOME-2 is on-board the EUMETSAT satellite MetOp-A which was launched in October 2006.\r\nBuild on a design almost identical to GOME, it covers the same spectral range as its predecessor\r\nbut with an improved spatial resolution. The nominal ground-pixel size is 80 x 40 km2 with a\r\nglobal coverage in almost one day (swath of 1920 km). GOME-2 continues the measurement\r\nseries started with GOME, and in this project it is therefore used to retrieve total columns and\r\nvertical distributions of ozone. Data are available since January 2007 on an operational basis. A\r\nsecond GOME-2 instrument has been launched in 2012 on the METOP-B platform, and a third\r\none will be launched at the end of the decade on METOP-C." }, { "ob_id": 9159, "uuid": "a1ba22ff04ecdd1a8fb0b6a2c9adf583", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/58 over the Brue Valley Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9627, "uuid": "c7248d14fce93df5818cf21d55047053", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/22 over the Torness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 27542, "uuid": "cd56a33d69b946fd9dfb42f3660ee43a", "short_code": "ob", "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Gibraltar", "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Gibraltar. Two months' of data are provided for each area in the CARD4L v3.2.2 standard format. The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office. The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC." }, { "ob_id": 10292, "uuid": "0e0e63d916e894611e4ac54d740a3355", "short_code": "ob", "title": "Data from the CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 04/19 over the Nigg Bay Area", "abstract": "ARSF project 04/19: The impact of managed retreat for inter-tidal habitat restoration. PI: S. Winterbottom. Site: Nigg Bay." }, { "ob_id": 8084, "uuid": "644af662c4b8c1d6492c1b4f9bf4bf51", "short_code": "ob", "title": "AATSR: Averaged Surface Temperature (AST) product (ATS_AR__2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Average Surface Temperature (AST) product. These data are the Level 2 spatially averaged geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThere are two types of averages provided: 10 arcminute cells and 30 arcminute cells. All cells are present regardless of the surface type. Hence, the sea (land) cells would also have the land (sea) records even though these would be empty. Cells containing coastlines will have both valid land and sea records; the land (sea) record only contains averages from the land (sea) pixels. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 10139, "uuid": "646679af7380a349e69e0938f8fa1213", "short_code": "ob", "title": "Data from the CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/32 over the Latera Area, Italy", "abstract": "ARSF Project MC04/32: Assessing the impacts of natural CO2 seeps in Italy as an analogue for CO2 sequestration. PI: Jonathan Pearce. Site: Latera." }, { "ob_id": 9163, "uuid": "10948f39b2d3f11f67ecbe1ba387ce85", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/06 over the Yorkshire Wolds Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9723, "uuid": "10d07d71b46b700ef7331ddd45ca1af9", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 89/12 over the Torness Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9191, "uuid": "2e42ba981819e7314ae992cf262ad17f", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/CR2 over the Wellesbourne Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10729, "uuid": "2e58afc6c0ac2e35c095c388c7543282", "short_code": "ob", "title": "Data from the CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 00/11 over the Barton Bendish Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10805, "uuid": "b05e9ac10e621dcd0d3f3755f04ac00d", "short_code": "ob", "title": "Data from the CASI-2 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB07/06 over the Dorchester and New Forest Areas, to Validate Envisat MERIS Terrestrial Chlorophyll Index (MTCI) Data", "abstract": "ARSF project GB07/06: Level 1 Validation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI). Led by: Dr. Doreen Sandra Boyd, School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD. Location: Dorchester, UK." }, { "ob_id": 9187, "uuid": "64ddab057a78756e718d263a69ebd6e3", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/09 over the Lake Vrywny and Rutland Water Areas", "abstract": "015-11-20: Data found to be corrupt from Siddal reprocessing pipeline\r\n\r\nThe Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10508, "uuid": "139044d6810959ed15aa374857d71cef", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/06 over the Ribble Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9271, "uuid": "13c30d9337d1dac8b91d201d10992b1a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/05 over the Portsmouth Bay Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9195, "uuid": "13c4ca6449c460c90a5c96c9bb2105df", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/24 over the Ythan Estuary", "abstract": "ARSF project 03/24 led by G.Ferrier. Site: Ythan Estuary." }, { "ob_id": 32753, "uuid": "e972cb1afd34494c94d9b22c1b66daca", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains level-2 Interferometric Wide swath (IW) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. These level 2 OCN products provide Ocean Wind field (OWI) and Surface Radial Velocity (RVL).\r\n\r\nThe OWI component is a ground range gridded estimate of the surface wind speed and direction at 10 m above the surface, derived from IW mode. The OWI component contains a set of wind vectors for each processed Level-1 input product. The norm is the wind speed in m/s and the argument is wind direction in degrees (meteorological convention = clockwise direction from where the wind blows with respect to the North). The spatial resolution of the SAR wind speed is 1 km for IW mode.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThese data are available via CEDA to any registered CEDA user." }, { "ob_id": 9755, "uuid": "1518d92dd8b621ec412a651ba7e24404", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 88/12 over the Severn Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8652, "uuid": "1625c0308ab58fb5f41d58e84c4a820e", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/xx over the Sawtry Area", "abstract": "ARSF Project 03/xx. Site: Sawtry. PI: Andrew Wilson." }, { "ob_id": 10412, "uuid": "149d67c2151b6a186752610630cf0e81", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/34 over the Houghton le Spring Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8660, "uuid": "1779162a54ed84ec2d8ef91b2db4b761", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight 02/20 over the River Frome", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8796, "uuid": "6571595239d9ec656eb4b809a5185ca1", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 96/32 over the Salisbury Plain Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10464, "uuid": "b080590e6f5d12e2e0ca4c32f6ef3bbc", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 01/36 over the Jarlhettur Area, Iceland", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9931, "uuid": "162606a60a0f453eb396ae93a8216e7d", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/15 over the Irish Sea and River Conway", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9903, "uuid": "1704ff5db44e3a6b5eeb7c3639b6c194", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 85/03 over the Loch Leven Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32814, "uuid": "171d5d0e6ef44fc3addad6ba45c8fb17", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): SM mode SLC Level 1 data, Instrument Processing Facility (IPF) v3", "abstract": "This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. \r\n\r\nStripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing.\r\n\r\nThese data are available via CEDA to any registered user." }, { "ob_id": 10560, "uuid": "1920c07a35cce218b3fac73d9328052a", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/17 over the Tamar Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9487, "uuid": "65a11d1605f9321d84e48864c0557006", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/test over the Monks Wood Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32795, "uuid": "e9df102eeac54d04b24686fc026c63f9", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, { "ob_id": 9203, "uuid": "e9e20fe4ea1f783afcb76f0c4e1d7c13", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/09 over the Barrmill Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 19739, "uuid": "97d408bb5af040308ad9faca88eda341", "short_code": "ob", "title": "AATSR: Multimission land and sea surface data, v2.0", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains version 2.0 AATSR Multimission land and sea surface temperature data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 8623, "uuid": "98194cf6dd5d071472408a9215bb285c", "short_code": "ob", "title": "Data from the ATM AZ-16 Instrument on-board the Dornier Do228-101 D-CALM Aircraft during Flight 03/28 over the Bath Area", "abstract": "ARSF project 03/28 led by Kayte Royse. Site: Bath." }, { "ob_id": 9795, "uuid": "983a46700035c5a7609b06c2849b69ef", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/34 over the Morrich More Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10697, "uuid": "b0c8585a838b75052901d955957bd75c", "short_code": "ob", "title": "Data from the Photographic Camera and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB04/07 over the River Tummel", "abstract": "ARFS project GB04/07: interaction between channel evolution and riparian vegetation succession. Led by: David Gilear. Location: River Tummel, southern Highlands, Scotland." }, { "ob_id": 10055, "uuid": "b0f634ce5ebc0aa76e32ab9dc33d3daa", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 84/33 over the Rothamstead Park Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8703, "uuid": "cd82dcd45194be33ed44e507804ab2d3", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 00/25 over the Isle of Islay", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 25815, "uuid": "66513a25354543be9ea7587344cbb87a", "short_code": "ob", "title": "ARSF Flight 2012_206b - For RG12_10: Hyperspectral Remote Sensing Measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_206b).\r\n\r\nData were collected over the Milton Keynes, UK area.\r\n" }, { "ob_id": 8567, "uuid": "ea46600afc4559827f31dbfbb8894c2e", "short_code": "ob", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop-A satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-A satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1\r\n\r\nThis data set contains both the original processed data and reprocessed archive. In the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only \r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly." }, { "ob_id": 9139, "uuid": "66aa54f86e87fd584620ff4083fb172a", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/47 over the Dolgellau Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8897, "uuid": "c8d5e021be4169f3e10afa6beff47bd0", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 90/02 over the Central Highlands Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 10629, "uuid": "b2bbd3b148b334a0beda2303183cf524", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 91/test over the Woodwalton Fen Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9423, "uuid": "b9d185bd53089454103db065b6d8c594", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/25 over the Plymouth Area, in support of the Plymouth Atmospheric Correction Experiment (PACE) and the Land-Ocean Interaction Study (LOIS)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9147, "uuid": "ce1d136ba9c556bef6361007fe937ab8", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/50 over the Esk and Duddon Catchment Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 8715, "uuid": "c50581c9bd1dd2be9a40bd03541b817a", "short_code": "ob", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/18 over the Auchencarroch, Tarbolton Ayrshire and Greengairs Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32265, "uuid": "e28a2d786c79494ca77206178bae5dcf", "short_code": "ob", "title": "Sentinel 3B Synthetic Aperture Radar Altimeter (SRAL) Level 1B data", "abstract": "This dataset contains level 1b altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th of April 2018. These level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 9791, "uuid": "eb0eea947707c118c949ecba28924141", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/31 over the Broadbalk Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9127, "uuid": "ba6d750f7dbfc63a7d412214e0603e39", "short_code": "ob", "title": "Data from the ATM Instrument on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 87/32 over the Clipstone Forest Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32383, "uuid": "ba706617a7a84034af8f13eeb86a8c9d", "short_code": "ob", "title": "MCD43A1 - MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A1\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters product (MCD43A1) contains three-dimensional (3D) data sets providing users with weighting parameters for the models used to derive the Albedo and BRDF products (MCD43A3 and MCD43A4). The models support the spatial relationship and parameter characterization best describing the differences in radiation due to the scattering (anisotropy) of each pixel, relying on multi-date, atmospherically corrected, cloud-cleared input data measured over 16-day periods.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A1C MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD43A1C.006 , Keywords: Climate Change, Albedo, Reflectance " }, { "ob_id": 10536, "uuid": "eb396e606073030db38df171e5b76e0c", "short_code": "ob", "title": "Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain Aircraft and the Dornier Do228-101 D-CALM Aircraft during Flight 00/07 over the Grisedale, Straits Inclosure and Blackwood Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 12326, "uuid": "ce77e331994a400bb0512d27443874cd", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar (SAR): Interferometric Wide (IW) mode Ground Range Detected (GRD) High Resolution (HR) Level 1 data", "abstract": "This dataset contains Interferometric Wide swath (IW) Ground Range Detected (GRD) High Resolution (HR) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered scientific user in the UK." }, { "ob_id": 32405, "uuid": "2a777ecbac9847639617c053072c4af2", "short_code": "ob", "title": "MOD35_L2 - MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD35_L2\n\n\n\n\n\n\"\nThe MODIS Cloud Mask product is a Level-2 product generated at 1-km and 250-m (at nadir) spatial resolutions. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. An indication of shadows affecting the scene is also provided. The 250-m cloud mask flags are based on visible channel data only. Radiometrically-accurate radiances are required, thus holes in the Cloud Mask will appear wherever the input radiances are incomplete or of poor quality assurance. There are two MODIS Cloud Mask data product files: MOD35_L2, containing data collected from the Terra platform; and MYD35_L2, containing data collected from the Aqua platform.\n\nThe MODIS cloud mask algorithm employs a battery of spectral tests, which use methodology applied in the AVHRR Processing scheme Over cLoudy Land and Ocean (APOLLO), International Satellite Cloud Climatology Project (ISCCP), CLoud Advanced Very high resolution Radiometer (CLAVR), and the Support of Environmental Requirements for Cloud Analysis and Archive (SERCAA) algorithms to identify cloudy FOVs. From these, a clear-sky confidence level (high confident clear, probably clear, undecided, cloudy) is assigned to each FOV. For inconclusive results, spatial- and temporal-variability tests are applied. The spectral tests rely on radiance (temperature) thresholds in the infrared and reflectance thresholds in the visible and near-infrared. Thresholds vary with surface type, atmospheric conditions (moisture, aerosol, etc.), and viewing geometry. In addition to the MOD02 calibrated radiances, a 1-km land/water mask, DEM, ecosystem analysis, snow/ice cover map, NCEP analysis of surface temperature and wind speed, and an estimate of precipitable water are required as inputs.\n\nA determination of the presence of global cloudiness is essential to the MODIS mission for two reasons. First, clouds play a critical role in the radiative balance of the Earth and must be accurately described to assess climate and potential climate change. Second, the presence of cloudiness must be accurately determined to properly retrieve many atmospheric and surface parameters. For many of these retrieval algorithms even thin cirrus represents contamination.\n\nCloud mask validation will be conducted using MODIS Airborne Simulator (MAS) data from several field campaigns, all-sky cameras, and comparison with NOAA operational instruments and possibly ASTER.\n\nFor additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. \"\n\nShortname: MOD35_L2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 250 m, 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE03 , File Naming Convention: MOD35_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Ackerman, S., et al., 2015. MODIS Atmosphere L2 Cloud Mask Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MOD35_L2.061 , Keywords: Cloud Fraction, Climate Change, Atmospheric Correction " }, { "ob_id": 8285, "uuid": "cf6e14075d6f66fd44cc0e1391a01852", "short_code": "ob", "title": "TOPSAT (Tactical Operational Satellite) imagery acquired by Landmap", "abstract": "Topsat images acquired by the Landmap project from Infoterra are available for selected areas in the following countries and locations: Albania, Argentina, Armenia, Botswana, Cameroon, China, Croatia, Egypt, Farasan Islands, Ghana, Honduras, Iraq, Kazakhstan, Krakatau, Mali, Mexico, Nigeria, Nile Delta, Palestine, Patagonia, Russia and Santa Cruz Island. Data are available as panchromatic or multispectral, in Tiff, ecw (Enhanced Compression Wavelet) and JPEG formats. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 32385, "uuid": "cf8e3e801a114979a160e809deb5cc9f", "short_code": "ob", "title": "MCD43A2 - MODIS/Terra+Aqua BRDF/Albedo Quality Daily L3 Global - 500m", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD43A2\n\n\n\n\n\nThe MODerate-resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Quality product (MCD43A2) describes the overall condition of the other BRDF and Albedo products. The MCD43A2 product contains 16 days of data at 500 meter spatial resolution provided in a level-3 gridded data set in Sinusoidal projection, and includes albedo quality assurance, snow conditions, ancillary information, and inversion information.\n\nBoth Terra and Aqua data are used in the generation of this product, providing the highest probability for quality assurance input data. It is designated with a shortname beginning with MCD, which is used to refer to 'combined' products, those comprised of data using both Terra and Aqua.\n\nNote that the V006 MODIS MCD43 products are retrieved daily and represent the best BRDF possible based on 16 days worth of inputs with the day of interest emphasized. Unlike the earlier reprocessed versions (where the date of the product signifies the first day of the retrieval period), and the Direct Broadcast version (where the date signifies the last day of the retrieval period), the date associated with each daily V006 retrieval is the center of the moving 16 day input window. This change is in response to user requests.\n\nVersion-5 MODIS BRDF & Albedo products have attained Validation Stage 3.\n\nShortname: MCD43A2 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE23 , File Naming Convention: MCD43A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Crystal Schaaf - University of Massachusetts Boston, Zhuosen Wang - NASA GSFC and MODAPS SIPS - NASA. (2015). MCD43A2C MODIS/Terra+Aqua BRDF/Albedo Quality Daily L3 Global - 500m. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD43A2C.006 , Keywords: Climate Change, Albedo, Reflectance " }, { "ob_id": 26102, "uuid": "cf97ccc802d348ec8a3b6f2995dfbbff", "short_code": "ob", "title": "Daily MODIS (MODerate Imaging Spectroradiometer) derived cloud droplet number concentration global dataset for 2003-2015", "abstract": "Daily global cloud droplet number concentrations (Nd) have been calculated at 1x1 degree resolution from pixel-level MODIS (MODerate Imaging Spectroradiometer) Collection 5.1 Joint Level-2 (Aqua satellite) optical depth (tau) and the 3.7 micron effective radius (reff) data (and other supporting data) using the adiabatic cloud assumption (liquid water content increases linearly with height, Nd is constant throughout the cloud depth and the ratio of the volumne mean radius to the effective radius is assumed constant). \r\n\r\nThe Nd data is contained in separate NetCDF files for each year for the period 2003-2015. Nd is contained in the \"Nd\" variable and has units of cm^{-3}. This is a 360x180xNdays (lon x lat x Ndays) sized array, where Ndays is the number of days in the year. The lon x lat grid is a regular 1x1 degree grid. The time is provided as both a 1D array of size Ndays (\"time\") with units of days since 1st Jan, 1970 and an array of size Ndays x 3 (\"time_vec\") that contains numbers for the year month and day for each of the Ndays entries.\r\n \r\nA number of filters have been applied to the data in order to remove retrievals that are likely to be problematic, or to violate the adiabatic cloud assumptions. Data is only included if:\r\n\r\n 1) Pixels are determined to be liquid pixels by MODIS.\r\n 2) The 1x1 degree mean cloud top height (calculated using the MODIS cloud top temperature and the sea surface temperature) is below 3.2km.\r\n 3) The 1x1 degree liquid cloud fraction was larger than 80%.\r\n 4) The 1x1 degree mean solar zenith angle was 65 degrees or less to avoid biases at high angles (Grosvenor and Wood, 2014).\r\n\t\t\t\t\t\t\r\n Note, that the filtering is different to that described in Grosvenor, AMTD, 2018 in the following ways :-\r\n\r\n 1) 1km resolution tau and reff are used to calculate Nd, which is then aggregated to 1x1 degree resolution (rather than using 1x1 degree tau and reff).\r\n 2) Only Nd based on the 3.7 micron reff retrieval is provided here.\r\n 3) No filtering for the presence of sea-ice is done here - it is recommended that this is done if using for high latitudes.\r\n 4) The data here is not restricted to tau>5.\r\n\t\t\t\t\t\t\t\t\t\t\t\t\r\nAlso note that the vertical penetration bias correction described in Grosvenor, AMTD, 2018 is NOT applied here. In addition, as described in the latter paper, further pixel-level screening is performed in order to select high quality data.\r\n\r\nDetails on the reasons for restricting to low solar zenith angles can be found in Grosvenor and Wood, ACP, 2014. Information on the pixel level filtering applied can be found in Grosvenor et al., AMTD, 2018 (noting the differences explained above). A comparison of this dataset with others can be found in Grosvenor et al., Reviews of Geophysics, 2018.\r\n\r\nThis dataset calculates a product that is not provided as standard by MODIS. It uses improved optical depth and effective radius data compared to the standard MODIS Level-3 data since situations (e.g., high solar zenith angles, broken clouds) that have been shown to cause retrieval issues have been filtered out at the Level-2 stage before being averaged into Level-3 droplet concentration data.\r\n" }, { "ob_id": 9399, "uuid": "ec1d4df8fa71778db9fdb250933479d2", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/02 over the Christchurch Bay and Southampton Water Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 9835, "uuid": "2ae6ae8d83ad44eb5383ffb36883263f", "short_code": "ob", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 86/06 over the Rhondda Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 32377, "uuid": "2bdeefa63a234a18a8fd0fabd4fa62b0", "short_code": "ob", "title": "MCD12Q1 - MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid", "abstract": "These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD12Q1\n\n\n\n\n\nThe MODIS Land Cover Type product contains multiple classification schemes, which describe land cover properties derived from observations spanning a year's input of Terra and Aqua data. The primary land cover scheme identifies 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP), which includes 11 natural vegetation classes, 3 developed and mosiacked land classes, and three non-vegetated land classes.\n\nThe MODIS Terra + Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid product incorporates five different land cover classification schemes, derived through a supervised decision-tree classification method:\n\nLand Cover Type 1: IGBP global vegetation classification schemeLand Cover Type 2: University of Maryland (UMD) schemeLand Cover Type 3: MODIS-derived LAI/fPAR schemeLand Cover Type 4: MODIS-derived Net Primary Production (NPP) schemeLand Cover Type 5: Plant Functional Type (PFT) scheme\n\nAdditional layers include a Land Cover Type Assessment SDS, a Land Cover Percent SDS, and a Land Cover Quality Control SDS.\n\nCollection 5.1 Land Cover Type products are produced with revised training data and certain algorithm refinements. For further details, please consult the following paper:\n\nFriedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., andHuang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168-182.\n\nShortname: MCD12Q1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: annual , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE41 , File Naming Convention: MCD12Q1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf AAYYYYDDD = Acquisition Year and Day of Year hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Mark Friedl, Damien Sulla-Menashe - Boston University and MODAPS SIPS - NASA. (2015). MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD12Q1.006 , Keywords: Climate Change, Climate Modeling, Land Cover " }, { "ob_id": 9407, "uuid": "2ca56d01be4be3eacaf5e182c5bc5acd", "short_code": "ob", "title": "Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/18 over the Isle of Grain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 142219, 142220, 142221, 142223, 142225, 142226, 142222, 143087, 143088, 142227 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 30143, "uuid": "6f44f8fed1b3490ca8b112a6074dd00d", "short_code": "coll", "title": "ACSIS: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for ACSIS FAAM Aircraft Projects.", "keywords": "ACSIS-1,ACSIS-2,ACSIS-3,ACSIS-4,ACSIS-5,ACSIS-6, ACSIS-7, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 27859, "uuid": "7876d0c706544eee877b2bbb786f3c2e", "short_code": "ob", "title": "FAAM C211 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 37474, "uuid": "7b16d480d42248ccbf2e144456de38db", "short_code": "ob", "title": "FAAM C288 ACSIS Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 24741, "uuid": "1072c94a044646f5b0f5b6168f78e8d8", "short_code": "ob", "title": "FAAM B997 ACSIS Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 25502, "uuid": "5b937be3db27419197336ccac0f087ee", "short_code": "ob", "title": "FAAM C067 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 24736, "uuid": "85023a32f2ed467695275ba90bf3dee9", "short_code": "ob", "title": "FAAM B996 ACSIS Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 24749, "uuid": "d60cd1eb5883409d9f5ccffc70701120", "short_code": "ob", "title": "FAAM B999 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 37498, "uuid": "e525619875834d63a2a6ce84288cb130", "short_code": "ob", "title": "FAAM C294 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 26415, "uuid": "c0e1aab5fd604255895d200b2c4f9673", "short_code": "ob", "title": "FAAM C104 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 26290, "uuid": "130637c33a27475093552bf76c088150", "short_code": "ob", "title": "FAAM C106 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27901, "uuid": "4360e79a20a1478c91894945fa37db46", "short_code": "ob", "title": "FAAM C145 ACSIS-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 27810, "uuid": "8978b4819b4e4991bd06f5c867022d15", "short_code": "ob", "title": "FAAM C201 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 30169, "uuid": "d9d91c40bcbb46468db8de7da6e55bb4", "short_code": "ob", "title": "FAAM C228 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 25493, "uuid": "8434b678f8844f14adbb6e7cba3501c9", "short_code": "ob", "title": "FAAM C066 ACSIS Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 30142, "uuid": "27e4308e50804532b14c9bc9bb054100", "short_code": "ob", "title": "FAAM C215 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 30145, "uuid": "8a22902dfc554230b6cca7c89cf68043", "short_code": "ob", "title": "FAAM C216 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 27861, "uuid": "0eb3a6ce574044d29733830d9fd4fb45", "short_code": "ob", "title": "FAAM C212 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 27857, "uuid": "eea5327c3aad484cb1343bec3157cd79", "short_code": "ob", "title": "FAAM C210 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 37490, "uuid": "834f5a562aac4a97ba8d84d8cf2d571f", "short_code": "ob", "title": "FAAM C292 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27808, "uuid": "8363ce5efc4e49d788fb98e4bf3812a7", "short_code": "ob", "title": "FAAM C200 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 27895, "uuid": "366fdf27ac7b4678a4447a52d8544ae5", "short_code": "ob", "title": "FAAM C142 ACSIS-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 24753, "uuid": "81902dc06146452e98a7db0d2b876855", "short_code": "ob", "title": "FAAM C001 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27814, "uuid": "0eafddba5d314b729271438b25133047", "short_code": "ob", "title": "FAAM C199 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 30167, "uuid": "1015965e30bf4c1f8eb7f02bedcd865a", "short_code": "ob", "title": "FAAM C226 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 27893, "uuid": "735dd23c7bbc40d59ee568d1363a03e4", "short_code": "ob", "title": "FAAM C141 ACSIS-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 27842, "uuid": "3fa55ea0513c4111a2f79ad5004d0a48", "short_code": "ob", "title": "FAAM C203 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 30147, "uuid": "4687d2a5199246e38383469ac65d47b3", "short_code": "ob", "title": "FAAM C217 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 37482, "uuid": "fb6891a046e448bf87661c7297052a38", "short_code": "ob", "title": "FAAM C290 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27846, "uuid": "a354aa616629419badb5b52ae0cb9313", "short_code": "ob", "title": "FAAM C205 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 37494, "uuid": "ae5cd3a3914541a592ce1f9ccba00959", "short_code": "ob", "title": "FAAM C293 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 26294, "uuid": "f22c74b77ea34adea7628dd088a4f767", "short_code": "ob", "title": "FAAM C105 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27844, "uuid": "c9fcaa2e7ee845e5bb1163863b845153", "short_code": "ob", "title": "FAAM C204 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 25518, "uuid": "677ca252ac8d44468bb473316c578ec7", "short_code": "ob", "title": "FAAM C071 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 25498, "uuid": "3450271614774081bb538de48618bb9e", "short_code": "ob", "title": "FAAM C068 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 26375, "uuid": "aed4c763415947b8bed5687d47ff4df0", "short_code": "ob", "title": "FAAM C096 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27891, "uuid": "04459aa62d5f4e7ebe2172518a842fcb", "short_code": "ob", "title": "FAAM C140 ACSIS-4 Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 37486, "uuid": "7ab38af8367b4c84acf8f9472f097b98", "short_code": "ob", "title": "FAAM C291 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27897, "uuid": "7ae42edd3d854ca98424c7bd3824805d", "short_code": "ob", "title": "FAAM C143 ACSIS-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 26411, "uuid": "9a586aea2b59413599b4b3d5e7b98711", "short_code": "ob", "title": "FAAM C103 ACSIS Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27889, "uuid": "23cab2d457844f8c85c2f98e91a7d496", "short_code": "ob", "title": "FAAM C139 ACSIS-4 Transit flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 24757, "uuid": "1d75255b335b497684c7e30506119715", "short_code": "ob", "title": "FAAM C002 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 30173, "uuid": "e8c2a0e24726480fb65b34d03a8b7d06", "short_code": "ob", "title": "FAAM C229 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 37454, "uuid": "9d8303ca10fd4c9b8fdb5e718daf6b26", "short_code": "ob", "title": "FAAM C283 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 24745, "uuid": "27a478b5cc35406e84dd630b0f2fd1cc", "short_code": "ob", "title": "FAAM B998 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27840, "uuid": "62906b15a7ae44e4a11ce77c76537f58", "short_code": "ob", "title": "FAAM C202 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project." }, { "ob_id": 41268, "uuid": "6285564c34a246fc9ba5ce053d85e5e7", "short_code": "ob", "title": "ACSIS: Merged airborne chemistry data from instruments on board the FAAM aircraft", "abstract": "A collection of collated chemistry measurements made onboard the FAAM BAE-146 aircraft for The North Atlantic Climate System Integrated Study: ACSIS project. These data were collected by core and non-core instruments and compiled into a merged dataset. \r\n\r\nFlights included are from the measurement campaigns: ACSIS1 - February 2017, ACSIS2 - October 2017, ACSIS3 - May 2018, ACSIS4 - February 2019, ACSIS5 - August 2019, ACSIS6 - February 2020 and ACSIS7 - May 2022. Parameters include Carbon Dioxide (CO2), Methane (CH4), Nitric oxide (NO), Nitric dioxide (NO2), Total Organic Aerosol, Sulphate Aerosol, Nitrate Aerosol, Ammonium Aerosol, Chloride Aerosol, Urea (CH4N2O), Hydrogen cyanide (HCN), Nitryl chloride (ClNO2), and photolysis rates." }, { "ob_id": 30171, "uuid": "2fad8124836b44b7860598397f29c132", "short_code": "ob", "title": "FAAM C227 ACSIS-6 Transit flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for ACSIS-6 FAAM Aircraft Project project." }, { "ob_id": 25510, "uuid": "b95acf1fbc014892a4e5e7189b929c56", "short_code": "ob", "title": "FAAM C069 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 27899, "uuid": "157cf7e581344a6a9148fc9c540e63de", "short_code": "ob", "title": "FAAM C144 ACSIS-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-4) project." }, { "ob_id": 37478, "uuid": "65494ea159d847a3bfcf38ddc1e476f6", "short_code": "ob", "title": "FAAM C289 ACSIS flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." }, { "ob_id": 25514, "uuid": "eb136b5006a34b2693187e5e5d7aceaf", "short_code": "ob", "title": "FAAM C070 ACSIS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The North Atlantic Climate System Integrated Study: ACSIS project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 191680, 191681, 191682, 191683, 191684, 191685, 200977, 200978, 200979 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 30210, "uuid": "0683e320d8634a37aa1d9ef62dd41a0d", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.7 data collection", "abstract": "Soil Moisture data (version 04.7) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31 and the ACTIVE product covering 1991-08-05 to 2019-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "citable", "dataPublishedTime": "2020-04-16T13:57:01", "doiPublishedTime": "2020-04-20T09:39:12", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30211, "uuid": "4ef9ebc392714b7cbc86ce601c6fd956", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.7", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.7 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 30204, "uuid": "1d38c469bbd3411b9bc4cd1195c38331", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.7", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created. \r\n\r\nThe v04.7 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2019-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 30206, "uuid": "2d4a50f390064820a9dcc2fcf7ac4b18", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.7", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.7 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 30208, "uuid": "ccc69467a0c74adbaada8c55b970ca19", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.7", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.7 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" } ], "identifier_set": [ 10710 ], "responsiblepartyinfo_set": [ 130529, 130530, 130532, 130533, 130534, 130535, 130536, 130531, 130537, 130546, 130547, 130549, 130545, 130541, 130540, 130538, 130539, 130542, 130543, 130544, 130548 ], "onlineresource_set": [ 37039, 37040, 37041, 37043, 37044, 37045, 37046, 37047, 37048, 37042, 37049, 37051, 94594 ], "project_set": [ 13332 ] }, { "ob_id": 30224, "uuid": "ee6d4c9285ae40aba7b5a7db738c6576", "short_code": "coll", "title": "(APHH India) Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux): Atmospheric measurements", "abstract": "This dataset collection contains atmospheric measurements from the APHH India) Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux) project.", "keywords": "APHH, Delhi, air pollution", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 32119, "uuid": "ee3900d930c34730bacc4cf5ada98a7d", "short_code": "ob", "title": "APHH: VOC measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains hourly VOC concentration measurements from the University of York's two-dimensional gas chromatography with flame ionisation detection instrument. This instrument was located at the Indira Gandi Delhi Technical University for Women (IGDTUW). Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. \r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture. Certain C4 substituted monoaromatic compounds have been tentatively identified. Monoterpenes have been quantified based on their relative response to liquid injections.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 31869, "uuid": "f29fdcae79374754bd16e7f66e6ed951", "short_code": "ob", "title": "APHH: Ionic species data within PM2.5 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains ionic data within PM2.5 measurements made during the Pre- Monsoon (28/05/2018 08:30:00 - 05/06/2018 17:30:00) and Post-Monsoon periods (09/10/2018 14:54:00 - 0\r\n6/11/2018 10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 30225, "uuid": "fae65a63910a44b28a3d91268417b7c3", "short_code": "ob", "title": "APHH: Online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaign", "abstract": "This dataset contains hourly online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW), Dehli, India. Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. This data was collected\r\nover two measurements periods (28/05/2018 - 05/06/2018 and 05/10/2018 - 27/10/2018), for the APHH-India DelhiFlux project, by the University of\r\nYork. Data analysis was completed by Beth Nelson and Jim Hopkins at the University of York.\r\n\r\nMixing ratios for the following species are included: ethane, ethene, propane, propane, iso-butane, n-butane, acetylene, trans-2-butene, 1-butene, iso-butene*, cis-2-butene, cyclopentane*, iso-pentane, n-pentane, 1,3-butadiene, trans-2-pentene, 1-pentene, n-octane, n-hexane, isoprene, n-heptane, benzene, toluene, ethylbenzene, combined m,p-xylene, o-xylene,\r\nmethanol, acetone, ethanol, 1,2-butadiene*, propyne*.\r\n\r\nDate and time given in Local time as Julian day where 2018 01 01 = 0\r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture, and certified NPL 6 component mixture for o-VOC calibration. NOTE: any compound not contained therein has been assumed to have the same response factor as its closest isomer*.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32213, "uuid": "b7c9aeb6aee54698aef82f20365fc441", "short_code": "ob", "title": "APHH: Compact Time of Flight Aerosol Mass Spectrometer measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site and India Meteorological Department (IMD) during the post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains includes Organic aerosols, NO3, SO4, NH4 and Cl concentrations in ugm-3 measured with Compact Time of Flight Aerosol Mass Spectromete made during the Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site and India Meteorological Department site. Organic aerosol factors (HOA, LVOOA, BBOA, COA and SVOOA were identified using PMF factorization.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32210, "uuid": "131a1935809540488cbb20bf5be5e8b3", "short_code": "ob", "title": "APHH: Multi Angle Absorption Photometer (MAAP) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains Black carbon (BC) concentrations in ugm-3 measured with an Multi Angle Absorption Photometer (MAAP) made during Post-Monsoon period of the APHH Delhi campaign in 2018 at Indian Meteorological Department (IMD) site. The measurements were collected at a height of ~ 26m.\r\nThe data has been corrected following the Weingartner method. Absorption coefficients were calculated following the Sandradewi model to determine biomass burning and fossil fuel contributions in Mm-1. The measurements were collected at a height of 4m.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 26923, "uuid": "71229b203b874d79b95b4d0ed0eae931", "short_code": "ob", "title": "APHH: Atmospheric nitrous acid (HONO) combined measurements made at the IAP-Beijing site during the summer and winter campaigns", "abstract": "This dataset contains atmospheric nitrous acid (HONO) combined measurements made at the Institute of Atmospheric Physics land station (IAP-Beijing) site, during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nThis combined dataset consists of a single mean time series of HONO mixing ratio (ppb), and associated min/max values determined from the datasets of 4 instruments that measured HONO at IAP at ground level. The data are averaged over 1 hour, the time stamp represents the start time of each averaging period.\r\n\r\nThe instruments included in the combined dataset are the University of Birmingham commercial wet-chemical LOPAP instrument (Heland et al. 2001), Institute of Chemistry, Chinese Academy of Sciences custom built wet-chemical instrument (Tong et al. 2016), and two custom built Broadband Cavity Enhanced Spectrophotmeters (BBCEAS) from the University of Cambridge (Kennedy et al. 2011) and Anhui Institute of Optics and Fine Mechanics (Duan et al. 2018)." }, { "ob_id": 32200, "uuid": "18a5685b5bbc4b3caefc469881f5f784", "short_code": "ob", "title": "APHH: Aethalometer measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains Black carbon (BC) concentrations in ugm-3 measured with an Aethalometer model AE31 made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. The data has been corrected following the Weingartner method. Absorption coefficients were calculated following the Sandradewi model to determine biomass burning and fossil fuel contributions in Mm-1. The measurements were collected at a height of 4m.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 30306, "uuid": "33ba929e3bcd4c08b69871e45a8660aa", "short_code": "ob", "title": "APHH: O3, CO, NO, NO2, NOy and SO2 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains O3, CO, NO, NO2, NOy and SO2 concentration measurements from the University of York's Thermo 49i O3 analyser, Aero Laser 5002 CO analyser, Air Quality Design (AQD) NOx analyser, Thermo 42c Trace Level NOx analyser with AQD NOy converter and a Thermo 43i SO2 analyser. These instruments were located at the Indira Gandi Delhi Technical University for Women (IGDTUW). The instruments sampled from a common sample line, initially at 7 m above ground level, then were moved to 35 m above ground on the 5th of November 2018.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 30223, "uuid": "ede22b4d8b1649999965301cc5f733f0", "short_code": "ob", "title": "APHH: Volatile organic compound (VOC) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaigns", "abstract": "This dataset contains volatile organic compound concentration measurements made by the University of Lancaster using the UK CEH proton transfer reaction-quadrupole ion guide time of flight-mass spectrometer (PTR-QiTOF-MS). Measurements were made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site, Dehli, India during the DelhiFlux campaigns. Measurements from 04/10/2018 to 04/11/2018 were made at ground level (~4 m). Measurements from 05/11/2018 to 23/11/2018 were made at 30 m above ground level. All values are reported in ppbV (parts per billion by volume).\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32187, "uuid": "b25cad50e3a0472098672264b12b20b1", "short_code": "ob", "title": "APHH: Photolysis rate measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains photolysis rate measurements made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Photolysis rates are derived from the product of the absorption cross-section of the precursor molecule, the quantum yield of the photo-product and the actinic flux density (cm-2s-1nm-1). The actinic flux is measured between 280 - 650 nm (<1 nm resolution) using a Ocean Optics spectral radiometer attached to a quartz receiver optic. Data is averaged to 1 minute time-stamp.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 130609, 130610, 130611, 130612, 130614, 130615, 130616, 130613 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 30248, "uuid": "5971cb20fae94540b862ae3ed3204c3f", "short_code": "coll", "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis 5 (ERA5) model data", "abstract": "ERA5 is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to present. This follows on from the ERA-15, ERA-40 and ERA-Interim re-analysis projects. This dataset collection includes data on surface and model levels on a regular latitude-longitude grid in netCDF from :\r\n - a high resolution 'HRES' (31 km horizontal, 137 model level, hourly output) reanalysis model \r\n - a reduced resolution ten member member ensemble runs, including data from all 10 members as well as means and spreads - produced to provide an uncertainty estimate for the 'HRES' output.\r\n - initial release 'ERA5t' data\r\n - re-run model output for 2000-2006 to address issues for this period - ERA5.1\r\n\r\nNote, the parameter selection for the data held in the CEDA archive is not the full range of available parameters. Users requiring other parameters or data on alternative level types should seek these products via the Copernicus Data Store (CDS) - see linked data tool resource.\r\n\r\nFor further details of the datasets and CEDA's holdings please see the individual datasets linked to on this dataset collection record.", "keywords": "ECMWF, ERA, ERA5, ERA5.1, ERA5t, reanalysis, surface, model, Gaussian, N256, analysis, forecast, ensemble", "publicationState": "published", "dataPublishedTime": "2021-02-08T15:05:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 55 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32093, "uuid": "f809e61a61ee4eb9a64d4957c3e5bfac", "short_code": "ob", "title": "ECMWF ERA5: model level analysis parameter data", "abstract": "This dataset contains ERA5 model level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 32108, "uuid": "f2f0bc7b9d0344babea9e800d9b71535", "short_code": "ob", "title": "ECMWF ERA5t: 10 ensemble member surface level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level analysis parameter data from 10 member ensemble runs. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. Ensemble means and spreads were calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble mean and ensemble spread data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, { "ob_id": 32110, "uuid": "cda895d99f1d47b5b1a76aa63e73cf66", "short_code": "ob", "title": "ECMWF ERA5t: ensemble spreads of surface level analysis parameter data", "abstract": "This dataset contains ensemble spreads for the ERA5 initial release (ERA5t) surface level analysis parameter data ensemble means (see linked dataset). ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. The ensemble means and spreads are calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, { "ob_id": 32115, "uuid": "9266a584355b46cf9d02791256e2b457", "short_code": "ob", "title": "ECMWF ERA5.1: ensemble means of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data ensemble means over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 32096, "uuid": "d8021685264e43c7a0868396a5f582d0", "short_code": "ob", "title": "ECMWF ERA5: ensemble means of surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data ensemble means (see linked dataset for spreads). ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble means and spreads are calculated from the ERA5 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 32095, "uuid": "3c3c845f1dfb4788a2577651cd758ee9", "short_code": "ob", "title": "ECMWF ERA5: ensemble spreads of surface level analysis parameter data", "abstract": "This dataset contains ensemble spreads for the ERA5 surface level analysis parameter data ensemble means (see linked dataset). ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble means and spreads are calculated from the ERA5 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 32109, "uuid": "d90fd3f22541420ab4a0d03e8fdd92d3", "short_code": "ob", "title": "ECMWF ERA5t: ensemble means of surface level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level analysis parameter data ensemble means (see linked dataset for spreads). ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. The ensemble means and spreads are calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, { "ob_id": 27572, "uuid": "c1145ccc4b6d4310a4fc7cce61041b63", "short_code": "ob", "title": "ECMWF ERA5: surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 32111, "uuid": "8aa70a91378d455ea63a2a1953858a7f", "short_code": "ob", "title": "ECMWF ERA5.1: surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 32092, "uuid": "8177330a5f2443059b7107188c2ab3c1", "short_code": "ob", "title": "ECMWF ERA5t: model level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) model level analysis parameter data. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset." }, { "ob_id": 30245, "uuid": "bbf4d911abd4446eaa8c3ed79edb9593", "short_code": "ob", "title": "ECMWF ERA5t: surface level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level analysis parameter data. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset." }, { "ob_id": 32094, "uuid": "bd302093953a48359ab33e4b48324f5f", "short_code": "ob", "title": "ECMWF ERA5: 10 ensemble member surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data from 10 ensemble runs. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble members were used to derive means and spread data (see linked datasets). Ensemble means and spreads were calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 30235, "uuid": "3e7ad71f09c244318f9bddf92e5fcc4b", "short_code": "ob", "title": "ECMWF ERA5: surface level forecast parameter data", "abstract": "This dataset contains ERA5 surface level forecast parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel and surface level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, { "ob_id": 32112, "uuid": "54a44e3bdaa14ac8a95f63d91ef51ace", "short_code": "ob", "title": "ECMWF ERA5.1: surface level forecast parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level forecast parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface and Model level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 32116, "uuid": "fba43af08c49445cb9150d524d8a2072", "short_code": "ob", "title": "ECMWF ERA5.1: ensemble spreads of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains spreads for the ERA5.1 surface level analysis parameter data ensemble means (see linked dataset) over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means and spreads are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 32114, "uuid": "7539b74273e14be7b226ec09c94b9bb5", "short_code": "ob", "title": "ECMWF ERA5.1: 10 ensemble member surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data for the period 2000-2006 from 10 member ensemble runs. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). Ensemble means and spreads are calculated from these 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble mean and ensemble spread data.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 30244, "uuid": "29cdcc9438b94508aab17bb5ebcdfd51", "short_code": "ob", "title": "ECMWF ERA5t: surface level forecast parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level forecast parameter data. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level and model level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset." }, { "ob_id": 32113, "uuid": "b8fdab7c8dea4e56b6ae051eb554cf76", "short_code": "ob", "title": "ECMWF ERA5.1: model level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 model level analysis parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, { "ob_id": 32706, "uuid": "2c8f38fac04945b89cf12d6e9c928c6f", "short_code": "ob", "title": "ECMWF ERA5: surface level invariant parameter data", "abstract": "This dataset contains ERA5 surface level invariant parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 130711, 130716, 130709, 130715, 130714, 130713, 130712, 130710, 130717 ], "onlineresource_set": [ 37132, 37134, 37135, 41883 ], "project_set": [ 30234 ] }, { "ob_id": 30334, "uuid": "fffdb393206747c8bdc2f2613b1f0f5e", "short_code": "coll", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output collection", "abstract": "The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the NIMS-KMA team UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NIMS-KMA, UKESM1-0-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38811, "uuid": "46b8feb1d2324d87867445e16b89b80c", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r13i1p1f2, r14i1p1f2 and r15i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA)." }, { "ob_id": 30332, "uuid": "924818d996934385b0dd74f201bc3ff5", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"piClim-NTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NTCF emissions\" (piClim-NTCF) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30890, "uuid": "7ae458c431b945879fc8d553f94e159a", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and day. The runs included the ensemble member: r13i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38368, "uuid": "510de2f659f44de8bafac16ba4a24e93", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"ssp370-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"SSP3-7.0, with low NTCF emissions\" (ssp370-lowNTCF) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA)." }, { "ob_id": 38814, "uuid": "bf73a04ac201462ab9b9faa9497f5bcc", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Omon, SIday, SImon and day. The runs included the ensemble members: r13i1p1f2, r14i1p1f2 and r15i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA)." }, { "ob_id": 34551, "uuid": "a8469d80be1242deb18187df622cb656", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, LImon, Omon, SIday, SImon and day. The runs included the ensemble members: r13i1p1f2, r14i1p1f2 and r15i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33499, "uuid": "78536b3682f74698bcc1718fe963ad43", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"histSST-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34554, "uuid": "4a918a8af28246688dd7639b0420508e", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, AERmonZ, Amon, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Omon, SIday, SImon and day. The runs included the ensemble members: r13i1p1f2, r14i1p1f2 and r15i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38365, "uuid": "9e9a044998d94e579f36d54e6a79c5dc", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"hist-piNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"historical forcing, but with pre-industrial NTCF emissions\" (hist-piNTCF) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 131140, 131143, 131145, 131147, 131148, 131149, 131150, 131151, 131146, 131144, 131141, 131142 ], "onlineresource_set": [ 37345, 37346, 49115 ], "project_set": [ 30331 ] }, { "ob_id": 30339, "uuid": "ec43ab35f09a4f4bacdb9b5adfe723aa", "short_code": "coll", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33532, "uuid": "6b364d79ac8b4c26ab4efbf24c005ea0", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-N2O\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 N2O concentrations (including chemistry)\" (piClim-N2O) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30337, "uuid": "dbea9fcc55fe4f54bb0745a5aff09b56", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"histSST-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with 1950 halocarbon concentrations. Experiment is initialized from histSST (AerChemMIP) simulation from January 1950\" (histSST-1950HC) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33535, "uuid": "8f7d8fc339584ab99eebccff255c0b7c", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-OC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33538, "uuid": "8bac14c3c0bc4c8eb4c0a431dba6bcd3", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-SO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33502, "uuid": "6f69a36aa6644132a99d000554ad9e22", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 halocarbon concentrations (including chemistry)\" (piClim-HC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30341, "uuid": "a140548839fa4b9f972a6b6a7ec8ac33", "short_code": "ob", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"histSST-piN2O\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"historical SSTs and historical forcings, but with pre-industrial N2O concentrations\" (histSST-piN2O) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 131183, 131175, 131177, 131178, 131179, 131180, 131181, 131182, 131176 ], "onlineresource_set": [ 37360, 37361, 49114 ], "project_set": [ 30336 ] } ] }