Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=6500
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6600", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6400", "results": [ { "ob_id": 26563, "uuid": "3e17dbc589ea406296107f6a70559987", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/sa-monsoon/data/incompass/radiosondes", "numberOfFiles": 140, "volume": 163663579, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25105, "uuid": "28a48da1141447058f8d5323908e4b3d", "short_code": "ob", "title": "INCOMPASS: Radiosonde measurements from the Indian Institute of Technology (IIT) airstrip, Kanpur, India", "abstract": "This dataset contains temperature, humidity, wind and GPS location information recorded from 137 radiosondes launched during July 2016 as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign. All radiosondes were launched from the airstrip of Indian Institute of Technology (IIT) Kanpur, Uttar Pradesh, northern India, from the location 26.519N, 80.233E, 126m above sea level. Launches took place between 5th July and 28th July at 00, 06, 12, 18UTC. The Vaisala RS41-SG radiosondes were fitted to Totex TA350 balloons. \r\n\r\nThe data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales." }, "onlineresource_set": [] }, { "ob_id": 26568, "uuid": "0dc3d02809f044199f80484616f973a6", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/curb/data/CanESM2/", "numberOfFiles": 406, "volume": 153631250152, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26556, "uuid": "3ecd1690bab2432db4ecb1de08388cfe", "short_code": "ob", "title": "CURBCO2: Coupled Physical-biogeochemical ocean NEMO-HadOCC simulation output forced by CanESM2 atmosphere", "abstract": "This dataset contains coupled physical-biogeochemical ocean second generation Canadian Earth System Model (CanESM2) simulation outputs using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes.\r\n\r\nJob IDs included in this dataset:\r\n CanESM2 surface fluxes (started on 18th for first, 21st for second, and on the 19th for other 2):\r\n RCP85: u-ao419\r\n RCP26: u-ao519\r\n Constant atm CO2:\r\n RCP85: u-ao529\r\n RCP26: u-ao531 (reduce walltime for nemo to test)\r\n\r\nThis data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015." }, "onlineresource_set": [] }, { "ob_id": 26570, "uuid": "a9784cf5ea0148c5a54139e04c71ad35", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/curb/data/GFDL-ESM2M", "numberOfFiles": 277, "volume": 105149493142, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26569, "uuid": "cbc7f00cde514dfebfb8d75913ee4862", "short_code": "ob", "title": "CURBCO2: Coupled Physical-biogeochemical ocean NEMO-HadOCC simulation output forced by GFDL-ESM2M atmosphere", "abstract": "This dataset contains coupled physical-biogeochemical ocean second generation Geophysical Fluid Dynamics Laboratory (GFDL-ESM2M) simulation outputs using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes.\r\n\r\n Job IDs included in this dataset are:\r\n GFDL-ESM2M surface fluxes (started on 19th July ~14h):\r\n RCP85: u-ao541 (copy from u-ao419, change model names, restart + reduce walltime for nemo to test )\r\n RCP26: u-ao551 (copy from u-ao541 and change rcp26 surface fluxes)\r\n Constant atm CO2:\r\n RCP85: u-ao552 (copy from u-ao541 with cst atm changes)\r\n RCP26: u-ao554 (copy from u-ao551 with cst atm changes)\r\n\r\nThis data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015." }, "onlineresource_set": [] }, { "ob_id": 26572, "uuid": "2fdeefed07494f21b87a77fe5b330488", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/curb/data/HadGEM2-ES", "numberOfFiles": 28, "volume": 10629346743, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26571, "uuid": "70440cf97bd04a9890800566f9d31399", "short_code": "ob", "title": "CURBCO2: Coupled Physical-biogeochemical ocean NEMO-HadOCC simulation output forced by HadGEM2-ES atmosphere", "abstract": "This dataset contains coupled physical-biogeochemical ocean second generation Met Office (HadGEM2-ES) simulation outputs using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes.\r\n\r\n Job IDs included in this dataset are:\r\n HadGEM2-ES surface fluxes (2099 for rcp85 not resolved yet) (runs started on 26th July)\r\n RCP85: u-ao789 (nov 2099)(copy from u-ao559,change model name, restart path, and surface fluxes files)\r\n RCP26: u-ao790 (nov 2099) (copy from u-ao789,change rcp26 surface fluxes)\r\n Constant atm CO2\r\n RCP85: u-ao791 (nov 2099) (copy from u-ao789 with cst atm changes)\r\n RCP26: u-ao793 (nov 2099) copy from u-ao790 with cst atm changes)\r\n\r\nThis data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015." }, "onlineresource_set": [] }, { "ob_id": 26574, "uuid": "0a7d261390ba44b6bcebe1c1f9c11e1b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/curb/data/IPSL-CM5A-LR", "numberOfFiles": 249, "volume": 94119107925, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26573, "uuid": "5a819e8e510a47b7bd8b1356caed43cb", "short_code": "ob", "title": "CURBCO2: Coupled Physical-biogeochemical ocean NEMO-HadOCC simulation output forced by IPSL-CM5A-LR atmosphere", "abstract": "This dataset contains coupled physical-biogeochemical ocean second generation Institut Pierre-Simon Laplace (IPSL-CM5A-LR) simulation outputs using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes.\r\n\r\n Job IDs included in this dataset are:\r\n IPSL-CM5A-LR surface fluxes:\r\n RCP85: u-ao559 (copy from u-ao419, change model names, restart + reduce walltime for nemo to test)\r\n Failed in nemo_cice 20431201: v10 not found in y2044 (and same for the years after) => download,merge,transfer,re-run => fixed\r\n RCP26: u-ao562 (copy from u-ao559 and change rcp26 surface fluxes)\r\n Constant atm CO2:\r\n RCP85: u-ao563 (copy from u-ao559 with cst atm changes)\r\n RCP26: u-ao564 (copy from u-ao562 with cst atm changes)\r\n\r\nThis data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015." }, "onlineresource_set": [] }, { "ob_id": 26583, "uuid": "f53d495f24004c78b5e99c7d1af2233f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc/data/netcdf/ar4_v2", "numberOfFiles": 16002, "volume": 13488312498, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26586, "uuid": "4baa6766bfd841209f045749d5723086", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc/data/netcdf/sres", "numberOfFiles": 3194, "volume": 649046392, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [ 25450, 25451 ] }, { "ob_id": 26587, "uuid": "16a74d1b77be4512b10522c63a5112f0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ipcc-ddc/data/netcdf/is92", "numberOfFiles": 166, "volume": 366763121, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [ 25452, 25453 ] }, { "ob_id": 26602, "uuid": "f8f5904fbe734cdfb4e985637f963166", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ch4-n2o-hotspots/data/montane-grasslands-seasonal", "numberOfFiles": 2, "volume": 156163, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26600, "uuid": "39ff3d8b84b341b8af6be78aaaaa5cdb", "short_code": "ob", "title": "Ground based measurements of carbon dioxide and methane taken from Tres Cruces (montane grasslands) in the Peruvian Andes (seasonal campaigns)", "abstract": "The dataset contains concentrations of carbon dioxide and methane which were collected in discrete air samples during intensive seasonal campaigns in November 2011 and August 2012 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Tres Cruces, a montane grassland ecosystem ground site, in the Peruvian Andes.\r\n\r\nData were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2)." }, "onlineresource_set": [] }, { "ob_id": 26609, "uuid": "44fdfea0dd574632a0e76943758f26d2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ch4-n2o-hotspots/data/montane-grasslands", "numberOfFiles": 2, "volume": 64582, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26608, "uuid": "3d7412e881f74846b9f2e120e5083118", "short_code": "ob", "title": "Ground-based measurements of carbon dioxide, methane and nitrous oxide taken from Tres Cruces (montane grassland) in the Peruvian Andes (2010-2013)", "abstract": "The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 5th January 2011 and 4th July 2013 by the University of Aberdeen Thermo TRACE Gas Chromatograph Ultra at Tres Cruces, a montane grassland ecosystem ground site, in the Peruvian Andes.\r\n\r\nData were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2)." }, "onlineresource_set": [] }, { "ob_id": 26612, "uuid": "6b6fedfe7b424deda3853bd4e67ffe79", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/science-communication/data", "numberOfFiles": 3, "volume": 68155, "fileFormat": "Data are csv formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26611, "uuid": "f156350cfc3245dfa9f6c7252da5cd08", "short_code": "ob", "title": "Climate Communication Project: Representing the Majority questionnaire asking participants about their attitudes towards climate change", "abstract": "This dataset contains a spreadsheet of responses to a questionnaire asking participants about their attitudes towards climate change. This data has been fully anonymised by the author. This data was collected as part of the Climate Communication Project which was a collaboration between academics and practitioners working on public engagement with climate change. NERC Grant NE/R011974/1." }, "onlineresource_set": [] }, { "ob_id": 26616, "uuid": "765b45b77ad34bc38f3af0d5b33d05bf", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/halley-methane", "numberOfFiles": 6, "volume": 1827539, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26615, "uuid": "b36ed14d0a204f4fa6b1d884a516b26e", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Methane measurements by the British Antarctic Survey from the Halley Research Station in Antarctica", "abstract": "This dataset contains methane concentration measurements from the British Antarctic Survey's Halley Research Station in Antarctica. The Picarro G2301 analyser was used for the measurement of Methane 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 the Methane Observations and Yearly Assessments (MOYA) project was funded by the Natural Environment Research Council (NERC, grant: NE/N015584/1)" }, "onlineresource_set": [] }, { "ob_id": 26617, "uuid": "e923c89ec0b84b8b8c03665fd2e76886", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/SFD/Africa/Sentinel2/pixel/v1.1/", "numberOfFiles": 1395, "volume": 41917713485, "fileFormat": "The product is a set of three single-layer GeoTIFF files (labelled JD, CL and LC in the filenames for layers 1 to 3 respectively).\r\n\r\nLayer 1 (JD): Date of the first detection; Pixel Spacing = 0.00017966259deg (approx. 20m); Pixel value = Day of the year, from 1 to 365 (or 366) . A value of 0 is included when the pixel is not burned in the month; a value of -1 is allocated to pixels that are not observed in the month; a value of -2 is allocated to pixels that are not burnable (build up areas, bare areas, , snow and/or ice, open water). Data type = Integer; Number of layers = 1; Data depth = 16\r\n\r\nLayer 2: Confidence Level; Pixel Spacing = 0.00017966259deg (approx. 20m); Pixel value = 0 to 100, where the value is the probability in percentage that the pixel is actually burned, as a result of thedifferent steps of the burned area classification. The higher the value, the higher the confidence that the pixel is actually burned. A value of 0 is allocated to pixels that are not observed in the month, or not taken into account in the burned area processing (non burnable). Data type = Byte; Number of layers = 1; Data depth = 8\r\n\r\nLayer 3: Land cover of that pixel, extracted from the CCI S2 prototype Land Cover map at 20m of Africa 2016. N is the number of the land cover categories in the reference map. It is only valid when layer 1 > 0. Pixel value is 0 to N under the following codes: 1 – Trees cover area; 2 – Shrubs cover area; 3 – Grassland; 4 – Cropland; 5 – Vegetation aquatic or regularly flooded; 6 – Lichen Mosses / Sparse vegetation; Pixel Spacing = 0.00017966259deg (approx. 20m); Datatype = Byte; Number of layers = 1; Data depth = 8", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26187, "uuid": "065f6040ef08485db989cbd89d536167", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Dataset (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from MODIS MOD14MD Collection 6 active fire products.\r\n\r\nThis dataset is part of v1.1 of the Small Fire Dataset (also known as FireCCISFD11), which covers Sub-Saharan Africa for the year 2016. Data is available here at pixel resolution (0.00017966259 degrees, corresponding to approximately 20m at the Equator). Gridded data products are also available in a separate dataset." }, "onlineresource_set": [] }, { "ob_id": 26621, "uuid": "94ccfebb9a8d4be78618c2ebd69abd15", "short_code": "result", "curationCategory": "", "dataPath": "/badc/sonata/data/halley-co2", "numberOfFiles": 6, "volume": 1798875, "fileFormat": "Data are BADC CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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)." }, "onlineresource_set": [] }, { "ob_id": 26623, "uuid": "beb05dddb8f04dc1b06d88cce38fa5ac", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/aast_leicester/data/CST_L3S_V2.1/daily/", "numberOfFiles": 11819, "volume": 180086262350, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26599, "uuid": "b8141fa5842b45e8863816da536def5a", "short_code": "ob", "title": "Along Track Scanning Radiometers Arctic combined Surface Temperature (AAST) daily mean Level 3 (L3S) dataset, v2.1", "abstract": "The AAST L3S Combined Surface Temperature (CST) products here primarily provide data on surface temperatures in the Arctic, across all Arctic surfaces, and their associated uncertainties. This dataset consists of CSTs with uncertainty estimates produced from the ATSR-2 and AATSR instruments on ESA's ERS-2 and Enivsat satellite respectively. The CSTs in this dataset are surface temperatures across ocean, snow/ice and land surfaces in the Arctic region, where the Arctic is defined as the area at, or north of, 60°N. Please note, the data here provide daily temperature data, not daily mean data as indicated by the dataset title. For more information see the paper linked under the details tab The data were produced for ATSR Satellite Dataset project, which was funded by The UK Dept. for Business, Energy & Industrial Strategy.\r\n\r\nIce (and snow) Surface Temperatures (ISTs) and Land Surface Temperatures (LSTs) used to produce this dataset are sourced from the GlobTemperature Level 2 LST V2.1 product. Sea Surface Temperature (SSTs) are from the ATSR SST L2P V3.0 product. This version of the CST dataset is v2.1, with an earlier version previously provided via the GlobTemperature data portal. ATSR data was sourced from the GlobTemperature data portal and the CEDA archive. It consists of a complete set of CST and accompanying auxiliary (AUX) datafiles for the ATSR-2 and AATSR instruments separately. ATSR-2 data are available for 01/08/1995 - 22/06/2003 while AATSR data are available for 20/05/2002 – 08/04/2012." }, "onlineresource_set": [] }, { "ob_id": 26625, "uuid": "acd61fbeadc04107a4830c218a816253", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmorph/data/0.25deg-DLY_00Z", "numberOfFiles": 7823, "volume": 3907294558, "fileFormat": "Data are binary formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26627, "uuid": "d1c80459151f4d09bdb32053b7f9b90e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/c3s_sst/data/ICDR_v2/AVHRR/L3C/v2.0/", "numberOfFiles": 5102, "volume": 256809098822, "fileFormat": "NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26429, "uuid": "f194fe3a5c4f4d0180f133535096b43b", "short_code": "ob", "title": "Copernicus Climate Change Service Dataset: Sea Surface Temperature Integrated Climate Data Record (ICDR) from the Advanced Very High Resolution Radiometer (AVHRR), Level 3C (L3C), version 2.0", "abstract": "This dataset provides gridded Sea Surface Temperature data derived from the Advance Very High Resolution Radiometer (AVHRR) series of satellites. Data is available separately for the AVHRR instruments on NOAA-19, METOP-A and METOP-B.\r\n\r\nThis dataset is produced as an Intermediate Climate Data Record for the Copernicus Climate Change Service (C3S). V2.0 extends from 2017-2021.\r\n\r\nA historic Climate Data Record (CDR) has also been produced under the ESA Climate Change Initiative Sea Surface Temperature (CCI_sst). This is available as a separate dataset in the CEDA catalgoue and through the ESA CCI Open Data Portal." }, "onlineresource_set": [] }, { "ob_id": 26629, "uuid": "6b1e343637e241b797fd6ae8a69ea707", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmorph/data/0.25deg-3HLY", "numberOfFiles": 8032, "volume": 13893690603, "fileFormat": "Data are binary formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26652, "uuid": "f9218123e2dd48e0b0ae1ad31c6ab8bf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/igp/data/HATPRO/", "numberOfFiles": 361, "volume": 634332023, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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)" }, "onlineresource_set": [] }, { "ob_id": 26669, "uuid": "f2c79f450c184a7982585ed8c47f5b57", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2018/WRF-himalaya/data/momentum-budget", "numberOfFiles": 45, "volume": 228944940054, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26674, "uuid": "53bc93e2193c4d9c8af3be1a2f1e4534", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/WRF-himalaya/data/snow-removal/", "numberOfFiles": 47, "volume": 228944941825, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26678, "uuid": "f7375dda4f1842db904957d2bc6714ad", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/tls/data/raw/fguiana/NOU-11", "numberOfFiles": 11145, "volume": 68689279396, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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." }, "onlineresource_set": [] }, { "ob_id": 26682, "uuid": "72e0a9a58c17431eb2c4756d1444562f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/MODIS/pixel/v5.1/", "numberOfFiles": 1680, "volume": 60713675075, "fileFormat": "Data are in GeoTiff format and is composed of 4 files:\r\n...JD.tif: Day of first detection (Julian Day) of the burned area;\r\n...CL.tif: Confidence level of burned area detection;\r\n...LC.tif: Land cover of the pixel detected as burned as defined by the Land Cover CCI v2.0.7 product;\r\n....xml: Metadata of the product.\r\n\r\nThe Coordinate Reference System (CRS) used is a geographic coordinate system (GCS) based on the World Geodetic System 84 (WGS84) reference ellipsoid and using a Plate Carrée projection with geographical coordinates of equal pixel size.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. These MODIS Fire_cci v5.1 pixel products are distributed as 6 continental tiles and are based upon data from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001-2020. This product supersedes the previously available MODIS v5.0 product. The v5.1 dataset was initially published for 2001-2017, and has later been periodically extended to include 2018 to 2022.\r\n\r\nThe Fire_cci v5.1 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land_Cover_cci v2.0.7 product.\r\n\r\nFiles are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 26685, "uuid": "a5b262fcb08646afac783589ff311f7d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2017/clno2_assessment/data/uea-highvol/leicester", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26688, "uuid": "058f8f05f58b4344ad57ff7ff76ee785", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2017/clno2_assessment/data/uea-highvol/weybourne", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26691, "uuid": "8bb717f01d4545febda978470a543a40", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/return-periods", "numberOfFiles": 4, "volume": 140035526, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26690, "uuid": "5f739395b79a439f94aa36e2aca4d7c6", "short_code": "ob", "title": "UKCP18 projected future extreme still water level at selected tide gauge locations for 2020-2100", "abstract": "The data are projected future still water return levels. The data were produced by the Met Office using projections of future mean sea level change prepared at the Met Office and estimates of present-day still water return levels which were provided by the Environment Agency. The data were produced as a simple indication of the relative sizes and uncertainties in present day extreme water levels and projected future mean sea level change. The data were produced by combining projections of mean sea level change with best estimates of present day extreme still water levels. The data in marine strand 4.09 cover the period from 2020 to 2100 and are available for 46 UK tide gauge locations.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26694, "uuid": "2ce0d8def3954f56b4762202aa268299", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/marine-sim/return-periods-ext", "numberOfFiles": 4, "volume": 326684870, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26693, "uuid": "242066d230a44986bf199f782e7f9008", "short_code": "ob", "title": "UKCP18 projected future extreme still water level at selected tide gauge locations for 2100-2300", "abstract": "The data are projected future still water return levels. The data were produced by the Met Office using projections of future mean sea level change prepared at the Met Office and estimates of present-day still water return levels which were provided by the Environment Agency. The data were produced as a simple indication of the relative sizes and uncertainties in present day extreme water levels and projected future mean sea level change. The data were produced by combining projections of mean sea level change with best estimates of present day extreme still water levels. The data in marine strand 4.10 cover the period from 2100 to 2300 and are available for 46 UK tide gauge locations.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 26695, "uuid": "d7e326a4bdcd4e5383e933dae72ebad1", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/hycristal/data/uganda/", "numberOfFiles": 9, "volume": 7763187, "fileFormat": "The file have been supplied in BADC CSV format, The first set dat files nambea have the form Instrument_Location_20171117.csv for example AWS_Naguru_20171117.csv (these files cover the period 17/11/2018 - 30/06/2018). Subsequent data files take the form Instrument_Location_DateFrom_DateTo.csv e.g. raingauge_Kanyanya_20180107_20193006.csv (which covers date range 01/07/2018 - 30/06/2019)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26700, "uuid": "a2a8100c46794985b410ea436f24812a", "short_code": "ob", "title": "High resolution meteorological data from a network of five stations in Kampala, Uganda", "abstract": "A high density weather observation data set from the Kampala area in Uganda has been produced through the collaboration of the projects: Integrating Hydro-Climate Science into Policy Decisions for Climate-Resilient Infrastructure and Livelihoods in East Africa (HyCRISTAL); and Networks of Hydrometeorological Stations. The network is one of a series of hydromet networks in urban centres in sub-Saharan Africa that were installed under the UK Natural Environment Research Council (NERC) programme, Future Climate for Africa (FCFA). \r\n\r\nThis data set consists of fifteen minute data from two automatic weather stations (AWS) and three rain gauges located within a 20 km2 area of Kampala, Uganda, measured over the period 17 Nov 2017 to 30 Jun 2019. \r\n\r\nThe parameters measured at the Automatic Weather Stations (AWSs) are: barometric pressure (hPa); global radiation (W/m2); precipitation (mm); relative humidity (%RH); temperature (°C); wind direction (°); wind speed (km/h); maximum wind speed (km/h).\r\n\r\nThe purpose of the network is to provide data to aid the modelling of flooding in Kampala and also to provide additional baseline meteorological monitoring in Kampala.\r\nThe datasets are complete for the full period of monitoring apart from the following:\r\n- Lugoba Reservoir, 19:30 2 May 2018 to 07:45 3 May 2018\r\n- Freka Enterprises, Tula Road, 19:15 2 May 2018 to 08:15 3 May 2018\r\n\r\nThe contract for the installation of the Kampala stations was carried out by OTT Hydromet. They were installed with the assistance of the Uganda National Meteorological Authority, the Ugandan Ministry of Water and Environment and the Ugandan National Water and Sewerage Company." }, "onlineresource_set": [] }, { "ob_id": 26709, "uuid": "5f7c0dca8de4433abbf3ee9302f7d664", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/saprise/data", "numberOfFiles": 28675, "volume": 6669298626058, "fileFormat": "netCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "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)." }, "onlineresource_set": [ 25673 ] }, { "ob_id": 26713, "uuid": "acca32f308f844f783674a4bd8695ebd", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2018/c121-sep-14", "numberOfFiles": 21, "volume": 723711460, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26714, "uuid": "a511d5a7d5d64b5abf316e022976df27", "short_code": "ob", "title": "FAAM C121 AEOG 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 project." }, "onlineresource_set": [] }, { "ob_id": 26724, "uuid": "f18a0261a4f74cebbd36bbaf9433243e", "short_code": "result", "curationCategory": "", "dataPath": "/badc/hi-acc-co2/data/zak_linelist", "numberOfFiles": 14, "volume": 90041449, "fileFormat": "Data are in HITRAN 2004 format (as defined in L.S. Rothman, D. Jacquemart, A. Barbe et al., \"The HITRAN 2004 molecular spectroscopic database\", Journal of Quantitative Spectroscopy and Radiative Transfer 96, 139-204 (2005).)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26712, "uuid": "b8cbc75bfaa1414fa4431cff170a9e99", "short_code": "ob", "title": "High accuracy room temperature line lists for the isotopologues of carbon dioxide", "abstract": "This dataset contains room temperature spectral line lists for 13 isotopologues of CO2, which have been calculated as part of the NERC (Natural Environment Research Council) funded 'High accuracy line intensity for carbon dioxide' project. These high accuracy line lists were derived for use in remote sensing of CO2 in the atmosphere. The dataset has been calculated from a theoretical model using the AMES potential energy surface and an accurate ab initio dipole moment surface. Data is provided in HITRAN format." }, "onlineresource_set": [] }, { "ob_id": 26726, "uuid": "d49a619a1c8c4ac4b7cf1654247b1fbf", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_surface_elevation_change/cryosat2/v2.2/", "numberOfFiles": 42, "volume": 93901837, "fileFormat": "Contains three different types of data files:\r\n1) png plots of the surface elevation changes.\r\n2) gridded ASCII files of the surface elevation changes and their associated errors\r\n3) NetCDF files containing the surface elevation changes and their associated errors", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26642, "uuid": "41e9783d4caa447b99f653c065805579", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change from Cryosat-2, v2.2", "abstract": "This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from Cryosat 2 satellite radar altimetry, for the time period between 2010 and 2017.\r\n \r\nThe surface elevation change data are provided as 2-year means (2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, and 2016-2017), and five-year means are also provided (2011-2015, 2012-2016, 2013-2017), along with their associated errors. Data are provided in both NetCDF and gridded ASCII format, as well as png plots.\r\n\r\nThe algorithm used to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, Remote Sensing of the Environment, 190,pp.207-216, doi:10.1016/j.rse.2016.12.012" }, "onlineresource_set": [] }, { "ob_id": 26729, "uuid": "98fb6c2f6053456486f6acd4335d631c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/moya/data/stations/zeppelin", "numberOfFiles": 2, "volume": 30364, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26719, "uuid": "88d1bbf6110e42abb29fc6b16eda42a0", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Zeppelin Observatory", "abstract": "This dataset contains air sample measurements of the ratio between carbon 12: carbon 13 in atmospheric methane (d13C). The air samples measured were taken from an inlet on the Zeppelin Observatory into either flasks, tedlar bags or flexfoil bags. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\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)." }, "onlineresource_set": [] }, { "ob_id": 26730, "uuid": "9846f0ee0580410db3355008f5bd8e81", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/stations/alert", "numberOfFiles": 2, "volume": 15751, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26721, "uuid": "418208c3a0874a4aa2e49bdbc0a32d36", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Alert, Canada", "abstract": "This dataset contains air sample measurements of the ratio between carbon 12: carbon 13 in atmospheric methane (d13C). The air samples measured were taken at Alert, Canada on a regular basis using glass flasks. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). \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)." }, "onlineresource_set": [] }, { "ob_id": 26731, "uuid": "9e436694bf1a44ff84d19ae093a5cf53", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/stations/ascension", "numberOfFiles": 2, "volume": 5654, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26720, "uuid": "4ec1af9b0d0845e7b654ff9ca5694113", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Ascension Observatory", "abstract": "This dataset contains air sample measurements of the ratio between carbon 12: carbon 13 in atmospheric methane (d13C). The air samples measured were taken at the Ascension Islands on a regular basis using glass flasks. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). MS). \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)." }, "onlineresource_set": [] }, { "ob_id": 26735, "uuid": "a42f3231dd9f4a48bb054617f84b7251", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_surface_elevation_change/saral-altika/v0.1/", "numberOfFiles": 6, "volume": 12178483, "fileFormat": "Version 0.1 of the product contains three files:\r\n1) NetCDF file containing the surface elevation change grids from AltiKa and\r\n from Cryosat-2 (for comparison) for 2013-2017 and their associated errors\r\n2) PNG plot of the surface elevation change from AltiKa\r\n3) PNG plot of the surface elevation change from Cryosat-2", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26650, "uuid": "0470e96f2d8245549ef2ba81842cdfd8", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change grid from SARAL-AltiKa for 2013-2017, v0.1", "abstract": "This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from SARAL-AltiKa for 2013-2017.\r\n \r\nThis new experimental product of surface elevation change is based on data from the AltiKa-instrument onboard the France (CNES)/Indian (ISRO) SARAL satellite. The AktiKa altimeter utilizes Ka-band radar signals, which have less penetration in the upper snow. However, the surface slope and roughness has an imprint in the derived signal and the new product is only available for the flatter central parts of the Greenland ice sheet.\r\n\r\nThe corresponding SEC grid from Cryosat-2 is included for comparison. The algorithm used to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, Remote Sensing of the Environment, 190,pp.207-216, doi:10.1016/j.rse.2016.12.012. The approach used here corresponds to Least Squares Method (LSM) 5 described in the paper, in which the slope within each grid cell is accounted for by subtraction of the GIMP DEM; the data are corrected for both backscatter and leading edge width; and the LSM is solved at 1 km grid resolution (2 km search radius) and averaged in the post-processing to 5 km grid resolution and with a correlation length of 20 km." }, "onlineresource_set": [] }, { "ob_id": 26763, "uuid": "78974c5b5607436db7e36c56cd051af6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_grounding_line_locations/v1.3/", "numberOfFiles": 74, "volume": 283357, "fileFormat": "Shape files", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26644, "uuid": "ea7a4cbe7b83450bb7a00bf3761c40d7", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Grounding Line Locations from SAR Interferometry, v1.3", "abstract": "This dataset contains grounding lines for 5 North Greenland glaciers, derived from generated from ERS -1/-2 and Sentinel-1 SAR (Synthetic Aperture Radar) interferometry. This version of the dataset (v1.3) has been extended with grounding lines for 2017. Data was produced as part of the ESA Greenland Ice Sheets Climate Change Initiative (CCI) project by ENVEO, Austria. \r\n\r\nThe grounding line is the separation point between the floating and grounded parts of the glacier. Processes at the grounding lines of floating marine termini of glaciers and ice streams are important for understanding the response of the ice masses to changing boundary conditions and for establishing realistic scenarios for the response to climate change. The grounding line location product is derived from InSAR data by mapping the tidal flexure and is generated for a selection of the few glaciers in Greenland, which have a floating tongue. In general, the true location of the grounding line is unknown, and therefore validation is difficult for this product.\r\n\r\nRemote sensing observations do not provide direct measurement on the transition from floating to grounding ice (the grounding line). The satellite data deliver observations on ice surface features (e.g. tidal deformation by InSAR, spatial changes in texture and shading in optical images) that are indirect indicators for estimating the position of the grounding line. Due to the plasticity of ice these indicators spread out over a zone upstream and downstream of the grounding line, the tidal flexure zone (also called grounding zone)." }, "onlineresource_set": [] }, { "ob_id": 26764, "uuid": "6f86f28c5f0f4c048e1b17eb06737af2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/n2o/108m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26765, "uuid": "5723b64d37bb439697e8be74ffe23f0d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/n2o/248m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26766, "uuid": "59ea6ab7fa3d49a9b0fc42915f3ddcc0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield", "numberOfFiles": 6, "volume": 118553123, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26761, "uuid": "3b1502730218439bb9ae01d4d2f6f55a", "short_code": "ob", "title": "GAUGE: Methane, Carbon Dioxide and Nitrous Oxide measurements taken from Heathfield Tower.", "abstract": "This dataset contains Methane, Carbon Dioxide and Nitrous Oxide measurements taken from Heathfield Tower at 50m and 100m. The measurements were taken using a Gas Chromatography-micro Electron Capture Detector (GC-ECD). This data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). \r\n\r\nThe GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. It aimed to integrate inter- calibrated information from ground-based, airborne, ferry-borne, balloon-borne, and space-borne sensors, including new sensor technology." }, "onlineresource_set": [] }, { "ob_id": 26767, "uuid": "7d9f13d030794906bbf1f1f12cfc0c18", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield/n2o/100m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26768, "uuid": "7aa0f69a35b042ae8ed30ba35fafaffe", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale", "numberOfFiles": 9, "volume": 107359349, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26760, "uuid": "a389a79fcb0b45fbae2c76aedeec6234", "short_code": "ob", "title": "GAUGE: Methane, Carbon Dioxide and Nitrous Oxide measurements taken from Bilsdale Tower.", "abstract": "This dataset contains methane, carbon dioxide and nitrous oxide measurements taken from Bilsdale Tower at 42, 108 and 248m. The measurements were taken using a Cavity Ring Down Spectrometer (CRDS). This data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). \r\n\r\nThe GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. It aimed to integrate inter- calibrated information from ground-based, airborne, ferry-borne, balloon-borne, and space-borne sensors, including new sensor technology." }, "onlineresource_set": [] }, { "ob_id": 26769, "uuid": "418d82ffec2e4acb97f7606568b34b32", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/ch4/108m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26770, "uuid": "4d0c94c1a19641df98181333d4d0a1f5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/ch4/42m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26771, "uuid": "0f17fd0e25ac45cc83eb819ae18ce45a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/co2/42m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26772, "uuid": "ab71901f7f5944b4aee2a0f268deb9eb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/co2/248m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26773, "uuid": "484b2f5bd95441e39c55eaa4e76ea5b6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/bilsdale/co2/108m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26774, "uuid": "c2fe3726fcdf46c18426c122bb5610b5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield/ch4/100m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26775, "uuid": "0460c3b8ca7d403cb6665c43514de8f7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield/ch4/50m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26776, "uuid": "577749b19c9b4fb5ae87e29ca45ed044", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield/co2/50m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26777, "uuid": "d0db6dbf65684fb7b0f00aaff40f6c28", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/heathfield/co2/100m", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 26779, "uuid": "b10fc32dc11049d0af327c6d420aff75", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/TU_Dresden/v1.2", "numberOfFiles": 35, "volume": 8996299, "fileFormat": "Mass trend grids are in NetCDF format. Time series are in ASCII and png format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26778, "uuid": "b017235a8e544d6fbad21387ebfbf0d8", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by TU Dresden, v1.2", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by TU Dresden. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to August 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.2) is derived from GRACE monthly solutions provided by TU Graz (ITSG-Grace 2016)\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. This GMB product has been produced by TU Dresden for comparison with the existing GMB product derived by DTU Space.\r\n\r\nPlease cite the dataset as follows: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065" }, "onlineresource_set": [] }, { "ob_id": 26781, "uuid": "f32427f9c4bf43bb90faf9e901f103bd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/TU_Dresden/v1.3/", "numberOfFiles": 35, "volume": 8967513, "fileFormat": "Mass trend grids are in NetCDF format. \r\nTime series are in ASCII and png format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26780, "uuid": "5970b33c92ef444793fb6d7e54d1230e", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data (CSR RL06), derived by TU Dresden, v1.3", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by TU Dresden. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to August 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.3) is derived from GRACE monthly solutions from the CSR RL06 product.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. This GMB product has been produced by TU Dresden for comparison with the existing GMB product derived by DTU Space.\r\n\r\nPlease cite the dataset as follows: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065" }, "onlineresource_set": [] }, { "ob_id": 26783, "uuid": "eaa96b08467a49168279193d058c707d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v1.5/", "numberOfFiles": 45, "volume": 10636729, "fileFormat": "Mass trend grids are in NetCDF format. \r\nTime series are in ASCII and png format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26782, "uuid": "ff4bfe39b7fe42fc993341d3cebdabb5", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data (CSR RL06), derived by DTU Space, v1.5", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by DTU Space. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to June 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.5) is derived from GRACE monthly solutions from the CSR RL06 product.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. \r\n\r\nCitation: \r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013, 2013." }, "onlineresource_set": [] }, { "ob_id": 26785, "uuid": "daabf3fb81d84461a7af0fea4cd51d1e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v1.4/", "numberOfFiles": 47, "volume": 11690445, "fileFormat": "Mass trend data are provided in NetCDF format. Time series data are provided in ascii and png format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26784, "uuid": "35ea8189e75e4b6f95e7c86812080ecb", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by DTU Space, v1.4", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by DTU Space. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to June 2017; and mass trend grids for different 5-year periods between 2003 and 2017. This version (1.4) is derived from GRACE monthly solutions provided by TU Graz (ITSG-Grace 2016), apart from August 2016 time series which is computed using the CRS-R05 solution.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. \r\n\r\nCitation: \r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013, 2013." }, "onlineresource_set": [] }, { "ob_id": 26786, "uuid": "1869b1096d22462baef7cfb0e5dfcbaa", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2015_2016/v1.2/", "numberOfFiles": 5, "volume": 149871783, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.).\r\nThe ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model (GIMP, Howatt et al. 2014), is also provided.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26647, "uuid": "302f379334e84664bd3409d08eca6565", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map, Winter 2015-2016, v1.2", "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2015-2016, derived from Sentinel-1 SAR data acquired from 01/10/2015 to 31/10/2016, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nThe ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model is also provided. The product was generated by ENVEO (Earth Observation Information Technology GmbH)." }, "onlineresource_set": [] }, { "ob_id": 26789, "uuid": "3a7f65a3f3bd47cdb6bd942c6792abbc", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2016_2017/v1.0/", "numberOfFiles": 5, "volume": 142130563, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.). The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model (GIMP, Howatt et al. 2014), is also provided.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26645, "uuid": "24dc5d5429434ccdb349db04a1a3233d", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map, Winter 2016-2017, v1.0", "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2016-2017, derived from Sentinel-1 SAR data acquired from 23/12/2016 to 27/02/2017, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nIn total approximately 1800 S-1A & S-1B scenes are used to derive the surface velocity applying feature tracking techniques. The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model is also provided. The product was generated by ENVEO (Earth Observation Information Technology GmbH)." }, "onlineresource_set": [] }, { "ob_id": 26790, "uuid": "621ffc805c0645be9f577e4c2a78718b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2017_2018/v1.0/", "numberOfFiles": 5, "volume": 140934157, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.). The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). 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The horizontal velocity is provided in true meters per day, towards EASTING(x) and NORTHING(y) direction of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided.\r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland)." }, "onlineresource_set": [] }, { "ob_id": 26822, "uuid": "8d88d0d950c9419a80a324d08c5bb7da", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_zachariae_79fjord_timeseries/v1.1/", "numberOfFiles": 6, "volume": 294596611, "fileFormat": "Data is provided as a single NetCDF file.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26657, "uuid": "2457272c747f4d6ca33cb40833bd9cc2", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Zachariae and 79Fjord area from ERS-1, ERS-2 and Envisat data for 1991-2011, v1.1", "abstract": "This dataset contains a time series of ice velocities for the Zachariae and 79Fjord area in Greenland derived from intensity-tracking of ERS-1, ERS-2 and Envisat data acquired between 01/08/1991 and 07/02/2011. It provides components of the ice velocity and the magnitude of the velocity and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. The image pairs have a repeat cycle between 1 and 35 days. The horizontal velocity is provided in true meters per day, towards EASTING(x) and NORTHING(y) direction of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided.\r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland)." }, "onlineresource_set": [] }, { "ob_id": 26823, "uuid": "23fa2f186b384714be1c50d718d067ce", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_petermann_timeseries/v1.1/", "numberOfFiles": 6, "volume": 157496225, "fileFormat": "Data is provided as a single NetCDF file.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26658, "uuid": "22254b5608ab430fa360d0ff7e71c34e", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Petermann glacier from ERS-1, ERS-2 and Envisat data for 1991-2010, v1.1", "abstract": "This dataset contains a time series of ice velocities for the Petermann glacier in Greenland derived from intensity-tracking of ERS-1, ERS-2 and Envisat data acquired between 16/08/1991 and 01/06/2010. It provides components of the ice velocity and the magnitude of the velocity and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. Image pairs with a repeat cycle of 1 to 35 days are used. The horizontal velocity is provided in true meters per day, towards EASTING(x) and NORTHING(y) direction of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided.\r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland)." }, "onlineresource_set": [] }, { "ob_id": 26824, "uuid": "f1e6b57ae17a462091416e48dae7df80", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_jakobshavn_timeseries/v1.1/", "numberOfFiles": 144, "volume": 503986247, "fileFormat": "Data are in NetCDF and GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 19863, "uuid": "dcda86e1d52f44aaafcffb77b47ba1bb", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Jakobshavn Isbrae glacier, 2002-2010, v1.1 (June 2016 release)", "abstract": "This dataset contains a time series of ice velocities for the Jakobshavn Isbrae Glacier in Greenland between 2002-2010, which has been produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThis dataset consists of a time series of Ice velocity maps which have been generated from Image Swath mode images from the ASAR instrument on the ENVISAT satellite, with a 35 day repeat cycle. The data are supplied on a 500m polar stereographic grid. \r\n\r\nPlease note - this product was released on the Greenland Ice Sheets download page in June 2016, but an earlier product (also accidentally labelled v1.1) was available through the CCI Open Data Portal and the CEDA archive until 29th November 2016. Please now use the later v1.1 product." }, "onlineresource_set": [] }, { "ob_id": 26825, "uuid": "c2626c3563924988bcf5df5f97e2f530", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_jakobshavn_timeseries/v1.2/", "numberOfFiles": 8, "volume": 155678863, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26641, "uuid": "a0d9764a3068439b997c42928ef739d2", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Jakobshavn glacier from ERS-1, ERS2 and ENVISAT data for 1992-2010, v1.2", "abstract": "This dataset contains time series of ice velocities for the Jakobshavn Glacier in Greenland, which have been derived from intensity-tracking of ERS-1, ERS-2 and Envisat data acquired between between 1992 and 2010. It provides components of the ice velocity and the magnitude of the ice velocity and has been produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe dataset contains two time series: 'Greenland_Jakobshavn_TimeSeries_2002_2010' contains an older version of the time series kept for completeness and also to ensure the best temporal coverage. It is based on data from the ASAR instrument on ENVISAT, acquired between 10/11/2002 and 23/09/2010 and contains 47 maps of ice velocity. \r\n\r\nThe second time series 'greenland_jakobshavn_timeseries_1992_2010' contains the latest version of the time serives based on ERS-1, ERS-2 and Envisat data acquired between 27/01/1992 and 13/06/2010 and contains 120 maps.\r\n\r\nThe data is provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. The image pairs have a repeat cycle between 1 and 35 days.\r\nThe horizontal velocity is provided in true meters per day, towards EASTING(x) and NORTHING(y) direction of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided.\r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland) and ENVEO (Earth Observation Information Technology GmbH)." }, "onlineresource_set": [] }, { "ob_id": 26826, "uuid": "cdff111db25f4f6daa60f060eb258907", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_upernavik_timeseries/v1.1/", "numberOfFiles": 256, "volume": 29480144, "fileFormat": "Data are in NetCDF and GeoTiff", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 20105, "uuid": "edb22f38cd974d0aa75ceb244e957f08", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 19864, "uuid": "ec38bfab8ae64c8a8b9a8072c2765b9a", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time series for the Upernavik region, 1992-2010, v1.1 (June 2016 release)", "abstract": "This dataset contains a time series of ice velocities for the Upernavik region in Greenland between 1992-2010, and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data consists of an ice velocity time series derived from intensity-tracking of ERS-1/2, ASAR and PALSAR data acquired between 02-01-1992 and 22-08-2010. It provides components of the ice velocity and the magnitude of the velocity.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E). The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NOTHING(y) directions of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided. Please note that the previous versions of this product provided the horizontal velocities as true East and North velocities.\r\n\r\nBoth a single NetCDF file (including all measurements and annotation), and separate geotiff files with the velocity components are provided. The product was generated by GEUS. For further information please see the Product User Guide (v2.0).\r\n\r\nPlease note - this product was released on the Greenland Ice Sheets download page in June 2016, but an earlier product (also accidentally labelled v1.1) was available through the CCI Open Data Portal and the CEDA archive until 29th November 2016. Please now use the later v1.1 product." }, "onlineresource_set": [] }, { "ob_id": 26827, "uuid": "4a3abe42c3324bc0860e2452c789ae48", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_upernavik_timeseries/v1.2/", "numberOfFiles": 6, "volume": 380496700, "fileFormat": "Data is provided as a single NetCDF file.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26640, "uuid": "8d475d7d92894765ad1ddda16de0e610", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Upernavik glacier from ERS-1, ERS-2, Envisat and PALSAR data for 1992-2010, v1.2", "abstract": "This dataset contains a time series of ice velocities for the Upernavik glacier in Greenland, derived from intensity-tracking of ERS-1, ERS-2 and Envisat and PALSAR data aquired between 02/01/1992 and 22/08/2010. The data provides components of the ice velocity and the magnitude of the velocity, and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. The image pairs used have a repeat cycle between 1 and 35 days. The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NOTHING(y) directions of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided. \r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland)." }, "onlineresource_set": [] }, { "ob_id": 26829, "uuid": "eb391d51ac6341f39213e4ef22c48e32", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_kangerlussuaq_timeseries/v1.0/", "numberOfFiles": 6, "volume": 17672734, "fileFormat": "Data is provided as a single NetCDF file.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26828, "uuid": "723067f77b8b43609079d721e3b4a3c7", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Kangerlussuaq glacier from ERS-1, ERS-2, Envisat for 1992-2008, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Kangerlussuaq glacier in Greenland, derived from intensity-tracking of ERS-1, ERS-2 and Envisat data aquired between 02/01/1992 and 17/12/2008. The data provides components of the ice velocity and the magnitude of the velocity, and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. The image pairs used have a repeat cycle between 3 and 35 days. The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NOTHING(y) directions of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided. \r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland)." }, "onlineresource_set": [] }, { "ob_id": 26830, "uuid": "4b7b2022bf214310a9131a0ab425e9f6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_kangerlussuaq/v1.0/", "numberOfFiles": 5, "volume": 49804361, "fileFormat": "Data 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.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 20171, "uuid": "97c77f9d95e343ec8cb6c7f464b2b616", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 19987, "uuid": "7687e5d628f1496cbe6c2622642842b2", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Kangerlussuaq Glacier for 2015-2016 from Sentinel-1, v1.0", "abstract": "This dataset contains a time series of ice velocity maps for the Kangerlussuag Glacier in Greenland derived from Sentinel-1 SAR data acquired between January 2015 and June 2016. This dataset 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." }, "onlineresource_set": [] }, { "ob_id": 26831, "uuid": "d7cc7b8489ef427bb4ca1d3b0b740a06", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_kangerlussuaq/v1.1/", "numberOfFiles": 6, "volume": 95592654, "fileFormat": "Data 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 EASTING(x) and NORTHING(y) direction of the grid.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26635, "uuid": "925e3f0e807243e2936cc492f5207af6", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Kangerlussuaq Glacier for 2015-2017 from Sentinel-1, v1.1", "abstract": "This dataset contains a time series of ice velocity maps for the Kangerlussuag Glacier in Greenland derived from Sentinel-1 SAR (Synthetic Aperture Radar) data acquired between January 2015 and March 2017. This dataset 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." }, "onlineresource_set": [] }, { "ob_id": 26832, "uuid": "500e1c022f95406090a1734f3cdda2e6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_jakobshavn/v1.0/", "numberOfFiles": 5, "volume": 32941430, "fileFormat": "Data 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.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 20327, "uuid": "f9ae2f1eeec14058a7b7beaa98b487e2", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 19986, "uuid": "d58ffcfd861a4f03bad97f77c505814b", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Jakobshavn Isbrae for 2014-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Jakobshavn Isbrae glacier in Greenland, generated from Sentinel-1 SAR data acquired from 11/10/2014 and 02/06/2016. 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." }, "onlineresource_set": [] }, { "ob_id": 26834, "uuid": "4aedb1eb939e4bd28ae430fd8c6a246c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_jakobshavn/v1.1/", "numberOfFiles": 6, "volume": 65330593, "fileFormat": "Data 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 EASTING(x) and NORTHING(y) direction of the grid.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26636, "uuid": "e1c0c34e0cc942898b3626efd1dcc095", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Jakobshavn Glacier for 2014-2017 from Sentinel-1 data, v1.1", "abstract": "This dataset contains a time series of ice velocities for the Jakobshavn glacier in Greenland, generated from Sentinel-1 SAR (Synthetic Aperture Radar) data acquired from October 2014 and March 2017. 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." }, "onlineresource_set": [] }, { "ob_id": 26836, "uuid": "c7a99d7209464666b014569d8784796e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_upernavik/v1.0/", "numberOfFiles": 5, "volume": 101275280, "fileFormat": "Data 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.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 20328, "uuid": "c7f76e316e8048eb880d72f3f372aa96", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 19866, "uuid": "ea4fefb0e791495fb80d6f571f055a6b", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of the Upernavik Isstroem for 2014-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the Upernavik Isstroem glacier in Greenland, derived from Sentinel-1 SAR data acquired between October 2014 and June 2016. This dataset 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." }, "onlineresource_set": [] }, { "ob_id": 26837, "uuid": "2f9b26662311494d8ebf1aa3c4b64232", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_upernavik/v1.1/", "numberOfFiles": 6, "volume": 175054830, "fileFormat": "Data 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 EASTING(x) and NORTHING(y) direction of the grid.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26632, "uuid": "ef5c6596cae548c6aea9dea181c7624c", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Upernavik Glacier for 2014-2017 from Sentinel-1 data, v1.1", "abstract": "This dataset contains a time series of ice velocities for the Upernavik Glacier in Greenland, derived from Sentinel-1 SAR (Synthetic Aperture Radar) data acquired between October 2014 and March 2017. This dataset 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." }, "onlineresource_set": [] }, { "ob_id": 26838, "uuid": "f82b4759b1894ecf8060a16cd1a89b37", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_79fjord/v1.0/", "numberOfFiles": 5, "volume": 55715101, "fileFormat": "Data 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.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [ { "ob_id": 20332, "uuid": "2d57a83b36064aa49ebd440237d6ba28", "short_code": "result", "title": null, "abstract": null } ], "observation": { "ob_id": 19859, "uuid": "3566cdffebf04ce784ad0fdcf094834a", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity Time Series of 79-Fjord Glacier for 2015-2016 from Sentinel-1 data, v1.0", "abstract": "This dataset contains a time series of ice velocities for the 79-Fjord 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." }, "onlineresource_set": [] }, { "ob_id": 26839, "uuid": "0024bd6115f1436c99a2e759608d2726", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_250m_s1_79fjord/v1.1/", "numberOfFiles": 6, "volume": 113701087, "fileFormat": "Data 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 EASTING(x) and NORTHING(y) direction of the grid.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26639, "uuid": "41e2300068b44fa190f24272dc08dcd0", "short_code": "ob", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the 79-Fjord Glacier for 2015-2017 from Sentinel-1 data, v1.1", "abstract": "This dataset contains a time series of ice velocities for the 79-Fjord Glacier in Greenland, derived from Sentinel-1 SAR (Synthetic Aperture Radar) data acquired between January 2015 and March 2017. 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). 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ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. 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 NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe buoy was deployed on numerous occasions during the voyage, including multiple deployments per day (the deployment number during the day is given in the filename following the date of deployment). However, some deployments are omitted from the archive where significant problems with the raw data were found (failure to obtain GPS lock; too-short a deployment, etc.). The deployment number for the day has been maintained to coincide with the buoy's deployment logs. Data are truncated to remove the deployment and recovery. No further quality control has been applied to the data.\r\n\r\nThe raw displacement timeseries data contains raw buoy displacements (up, north, west) from which the spectra were calculated. The spectra were calculated as 10-minute averages. The methodology used is detailed within the files, but include both raw (quite noisy) and smoothed spectra.\r\n\r\nThe overall wave statistics file contains all wave statistics data obtained during the voyage (significant wave height, spectral peak details, etc, along with the spectral moments from which the stats are calculated). These are all given for each spectrum as a whole, and partitioned into windsea and swell components. References to the techniques used to produce these statistics are given in the file.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements." }, "onlineresource_set": [] } ] }