Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=6700
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6800", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6600", "results": [ { "ob_id": 27259, "uuid": "ad8d86eb983e483a8c8fcceb817a7bcb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/unea-air-quality/data/no2", "numberOfFiles": 2, "volume": 5224, "fileFormat": "Data are BADC CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27201, "uuid": "6d73dc9c4a3f45008b57ed19fe74b07d", "short_code": "ob", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution No2 air quality data for Sub-Saharan Africa", "abstract": "This dataset contains No2 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa." }, "onlineresource_set": [] }, { "ob_id": 27262, "uuid": "6b96a2c5e9e844859e4eebb2c787e718", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/unea-air-quality/data/nh3", "numberOfFiles": 2, "volume": 5296, "fileFormat": "Data are BADC CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27202, "uuid": "6a5dd6e317274d1fac1ebc196d94a9dd", "short_code": "ob", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution NH3 air quality data for Sub-Saharan Africa", "abstract": "This dataset contains NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa." }, "onlineresource_set": [] }, { "ob_id": 27268, "uuid": "1ca65f7042284c698780e54db83e941d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/meteor-radars/data/king-edward-point/", "numberOfFiles": 3355, "volume": 1313621784, "fileFormat": "Data are ASCII formatted. See linked documentation.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "short_code": "ob", "title": "University of Bath: King Edward Point Skiymet meteor radar data (2016-2020)", "abstract": "The University of Bath's meteor radar located at the King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) on South Georgia island in the South Atlantic , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It has been operational since 2016 providing meteor detection and derived wind data in support of the NERC funded South Georgia Wave (SG-WEX) and DRAGON-WEX: The Drake Passage and Southern Ocean Wave Experiments (see linked Project records for further details).\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, "onlineresource_set": [] }, { "ob_id": 27272, "uuid": "6dadab041be24daa9a12fb580e9ba0c7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/meteor-radars/data/rothera/", "numberOfFiles": 14803, "volume": 11249332512, "fileFormat": "Data are ASCII formatted. See linked documentation.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27271, "uuid": "aa44e02718fd4ba49cefe36d884c6e50", "short_code": "ob", "title": "University of Bath: Rothera Skiymet Meteor Radar data (2005-present)", "abstract": "The University of Bath's meteor radar located at the British Antarctic Survey's Rothera base on Rothera Point, Adelaide Island, Antartica (67.57 S, 68.13 W), is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. Meteor detection and derived wind data from this instrument are available from 2005. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.\r\n\r\nNote - there are additional data from 20040728 in the archive. No other data were obtained between that date and the start date for the dataset (20050212). The start date of 20050212 has been chosen in order to avoid potential confusion about missing data prior to that date." }, "onlineresource_set": [] }, { "ob_id": 27275, "uuid": "e22e600df853469b9484d01207a908ba", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/meteor-radars/data/ascension/", "numberOfFiles": 4526, "volume": 2317630317, "fileFormat": "Data are ASCII formatted. See documentation for details.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27274, "uuid": "0d05cf74e17f49c2b7c5cd02faa59291", "short_code": "ob", "title": "University of Bath: Ascension Island Skiymet Meteor Radar data (2005-2012)", "abstract": "The University of Bath's Ascension Island meteor radar (7.9 S, 14.4 W) is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. The system was operational from October 2001 to June 2011, albeit with some gaps in the data coverage, in support of a number of research projects - see linked Project records for further details. Meteor detection and derived wind data from this instrument were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, "onlineresource_set": [] }, { "ob_id": 27277, "uuid": "967a9c21059d4cb8a7d1008e85ebc31b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/meteor-radars/data/bear-lake-observatory/", "numberOfFiles": 5231, "volume": 3242218157, "fileFormat": "Data are ASCII formatted. See documentation for further details.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27276, "uuid": "432c43bda95e4c3fa990e866ab78ad4f", "short_code": "ob", "title": "University of Bath: Bear Lake Observatory Skiymet meteor radar data (2008-2018)", "abstract": "The University of Bath's Bear Lake Observatory (BLO) meteor radar (42 N, 114 W), Utah, is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. The system has been operational from March 2008, providing meteor detection and derived wind data. Note, however, that there have been with some significant gaps in the data coverage. The data have been produced in support of a number of research projects - see linked Project records for further details.\r\n\r\nMeteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, "onlineresource_set": [] }, { "ob_id": 27281, "uuid": "24830d69aa1f4512a821a340f6811e4f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/meteor-radars/data/esrange/", "numberOfFiles": 9756, "volume": 5288830837, "fileFormat": "Data are ASCII formatted. See linked documentation.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27280, "uuid": "ba34cd217a8c49548f6fe62254b79fac", "short_code": "ob", "title": "University of Bath: Esrange Skiymet meteor radar data (2000-2018)", "abstract": "The University of Bath's meteor radar located at the Esrange Space Centre in Northern Sweden (67.88 N, 21.07E) , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It was operated by the University of Bath from October 1999 to October 2015 - albeit with some gaps in the data coverage. In October 2015, Esrange took over operation of the radar. Meteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day." }, "onlineresource_set": [] }, { "ob_id": 27287, "uuid": "380eeaabd60f4e0dbc37b2ad21a25866", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/sonata/data/cap-san-lorenzo", "numberOfFiles": 3, "volume": 21026370, "fileFormat": "Data are BADC CSVF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27286, "uuid": "235c7abace54467f84a680e8322a1b40", "short_code": "ob", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship 2018", "abstract": "This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship. A Li-6252 CO2 analyser and Oxzilla II O2 analyser was used for measurement. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1)." }, "onlineresource_set": [] }, { "ob_id": 27296, "uuid": "f78340db25d84867b24675c08d5224ef", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/globolakes/data/lake-surface-temp/", "numberOfFiles": 8541, "volume": 126457928310, "fileFormat": "Data are NetCDF formatted and a metadata file describing the lake ID's and locations that is BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob", "title": "GloboLakes: Lake Surface Water Temperature (LSWT) v4.0 (1995-2016)", "abstract": "Global Observatory of Lake Responses to Environmental Change (GloboLakes) was a project funded by the Natural Environment Research Council (NERC) with the following grant references: NE/J023345/2, NE/J02211X/1, NE/J023396/1, NE/J021717/1 and NE/J022810/1. \r\n\r\nThis dataset contains the GloboLakes LSWT v4.0 of daily observations of Lake Surface Water Temperature (LSWT), its uncertainty and quality levels. The LSWTs are obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) on MetOpA, AATSR (Advanced Along Track Scanning Radiometer) on Envisat and ATSR-2 (Along Track Scanning Radiometer) on ERS-2 (European Remote Sensing Satellite). The temperatures from the different instruments have been derived with the same algorithm and harmonised to insure consistency for the period 1995-2016. The GloboLakes LSWT v4.0 was produced by the University of Reading in 2018 for long term observations of surface water temperature for about 1000 lakes globally.\r\n\r\nThe dataset consist of two sets of files: 1) a single file per day on a 0.05° regular latitude- longitude grid covering the period from June 1995 to December 2016 (folder = daily), 2) a file per lake which contains the time series (daily) of the lake on a 0.05° regular grid (folder = per-lake). The list of the GloboLakes lakes is included as a CSV file and it contains name, GLWD identifier, coordinate of the lake centre and a set of coordinates that can be used to locate the lake in the daily-file dataset. The LSWTs consists of the daily observations of the temperature of the water (skin temperature). Uncertainty estimates and quality levels are provided for each value." }, "onlineresource_set": [] }, { "ob_id": 27300, "uuid": "11a4821804d84a65aebccb944f72f21a", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/beijing/ucl-met-chem", "numberOfFiles": 2, "volume": 155910, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27299, "uuid": "60d5d5e095024831a6f45e4febe4a95e", "short_code": "ob", "title": "APHH: Meteorology and atmospheric chemistry measurements made at the Xibaidian, Beijing site during the summer and winter campaigns.", "abstract": "This dataset contains wind speed and direction, air temperature, relative humidity, barometric pressure, nitric oxide, nitric dioxide, nitric oxides, sulphur dioxide, carbon dioxide, ozone and pm2.5 based on a newly built-up rural site at Xibaidian, Pinggu district, Beijing in winter 2016 and summer 2017. The data were taken for the APHH-Beijing campaign for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project as part of the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nInstruments were deployed on the roof of a one-story building in the far north end of a village, where most of the subjects resided nearby. Northern winds tend to bring relatively clean background air. In contrast, winds from the south are often contaminated by emissions from traffic and industries. \r\n\r\nThe following instruments were used:\r\n1. Meteorological parameter: TH16A meteorological station\r\n2. NOx: TEI 42 trace level chemiluminescence NOx Analyzer;\r\n3. SO2: Ecotech EC9850 Sulfur Dioxide Analyzer\r\n4. CO: Ecotech EC9830 Carbon Monoxide Analyzer\r\n5. O3: Ecotech EC9810 Ozone Analyzer\r\n6. PM2.5: Met One BAM 1020\r\n\r\nThe dataset was collected in Xibaidian, Pinggu district, Beijing for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project can provide ambient level of air pollutant in rural Beijing, enabling better understanding of the exposure level for local residents and potential examination for the related health effects." }, "onlineresource_set": [] }, { "ob_id": 27310, "uuid": "733e020ca2b14996bfb7182db82bfe43", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tls/data/raw/gabon/LPG-01/2013-08-23.001.riproject/", "numberOfFiles": 4942, "volume": 43639202926, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27309, "uuid": "d24ec272fc8e41b18e0eccc9a1b55c3d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, "onlineresource_set": [] }, { "ob_id": 27313, "uuid": "d661dd6f0c294774bfce7f78a188a25a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tls/data/raw/gabon/MNG-03/2016-06-29.001.riproject/", "numberOfFiles": 2601, "volume": 61020147923, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27312, "uuid": "d903e5f48267499992d00b92574caa8e", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-03), June 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominent, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, "onlineresource_set": [] }, { "ob_id": 27318, "uuid": "d92f0978a2b744c6b84f96bdc61a6387", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/tls/data/raw/gabon/MNG-04/2013-08-12.001.riproject", "numberOfFiles": 4698, "volume": 44843295013, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27315, "uuid": "89c664b7a86341bfa1b65c9fc5a0347d", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire, l'Arboretum Raponda Walker (Plot MNG-04), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Secondry Older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, "onlineresource_set": [] }, { "ob_id": 27320, "uuid": "aa268382e9d643e8a00db4ad02374c74", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tls/data/raw/gabon/OKO-02/2016-07-28.001.riproject", "numberOfFiles": 2633, "volume": 65184905007, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27319, "uuid": "f835f111f045429d9301061a34dcbc37", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park Plot OKO-02), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Monodominant , Forrestry: Secondry Maturing. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. 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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": 27356, "uuid": "6afc972d80b44bf9baf952f54fc2aa63", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tls/data/raw/peru/TAM-01/2017-06-02.001.riproject/", "numberOfFiles": 2315, "volume": 57931247053, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27355, "uuid": "1d745315475c4fe4a0d561c4a02e0acd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Peru Madre De Dios Tambopata National Reserve (TAM-01), June 2017", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. 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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": 27361, "uuid": "408e01c32e3b4a36bfe119793c5c8da2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tls/data/raw/gabon/MNG-03/2013-08-16.001.riproject/", "numberOfFiles": 4196, "volume": 44323706604, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27294, "uuid": "7ad3d55c11614b49988bec9bee12d4bd", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (MNG-03), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, "onlineresource_set": [] }, { "ob_id": 27363, "uuid": "0c084d1604e74528a17faf485566fe1c", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/tls/data/raw/gabon/MNG-04/2016-07-07.001.riproject", "numberOfFiles": 2404, "volume": 73793317135, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27256, "uuid": "0e2faf925c404a4fb817b17a6508cf99", "short_code": "ob", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (Plot MNG-04), July 2016", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy." }, "onlineresource_set": [] }, { "ob_id": 27367, "uuid": "c83390ac168a47c1a39de4e26a9d7f68", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/iasi_so2_oxford/data/orbit-by-orbit/paper-sep14-sep15", "numberOfFiles": 2549, "volume": 3797560623, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27366, "uuid": "d40bf62899014582a72d24154a94d8e2", "short_code": "ob", "title": "IASI retrieval of sulphur dioxide (SO2) column amounts and altitude, 2014-09 to 2015-02, version 1.0", "abstract": "This dataset contains global retrieval of sulphur dioxide (SO2) column amounts and altitudes derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Carboni et al. (2012,2016) retrieval algorithm for the Infrared Atmospheric Sounding Interferometer which retrieve column amount and altitude (together with a comprehensive error budget for every pixel) using simultaneously all the IASI channels between 1000–1200 and 1300–1410 cm−1. It has a global coverage and includes the six-month-long Holuhraun eruption, from September 2014 to February 2015, together with other events during the same periods such as: volcanic activity on the Kamchatka peninsula, Etna and Capo verde eruptions, anthropogenic SO2 emissions from China.\r\n\r\nThe data presents the results of the retrieval for every IASI 'plume' pixels (e.g. that result positive to the IASI SO2 detection) including: column amount (in Dobson Unit - DU), altitude (in millibar and successively converted in km using meteorological profile), surface temperature. It also includes quality control parameters and quality flags: for generic use we recommend using data with flag = 1. Quality control parameters available are: degree of freedom, cost function, convergence. These quality control paramenters are also summarized in two 'stricted' and 'relaxed' quality control flags. \r\n\r\nThis dataset also includes location of all IASI pixels in the same orbit (non plume pixel) to allow regridding and comparison with other instruments and models." }, "onlineresource_set": [] }, { "ob_id": 27375, "uuid": "afd1eeb232f04f76b3f0c06a17def7be", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/amused/data/soil-moisture", "numberOfFiles": 5, "volume": 33415307, "fileFormat": "Data are ASCII formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27374, "uuid": "cef0068506d0458f903bd79edbf9df31", "short_code": "ob", "title": "AMUSED: Cosmic-ray soil moisture and other meteorological data from Sheepdrove Farm stations", "abstract": "This dataset contains standard meteorological data and soil moisture estimates from cosmic-ray neutron sensors taken from Sheepdrove Farm stations (2015-2018). This data was collected as part of the NERC project A MUlti-scale Soil moisture-Evapotranspiration Dynamics study (AMUSED), which aimed to identify the spatial/temporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions." }, "onlineresource_set": [] }, { "ob_id": 27388, "uuid": "85699c6c1804466f909450a1257c0f7a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/wood-burning/data/pm2.5", "numberOfFiles": 2, "volume": 84869, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27387, "uuid": "690f5b6bc2654efb92c763e8614ae0a7", "short_code": "ob", "title": "PM2.5 and meteorology measurements taken from Temuco and Padre Las Casas, Chile", "abstract": "This dataset contains PM2.5 and meteorology measurements taken from Temuco and Padre Las Casas, Chile from June 2017 to July 2018. This data was collected for the NERC funded project Impact of Wood Burning Air Pollution on Preeclampsia and other Pregnancy Outcomes in Temuco which aimed to determine whether exposure to air pollutants (specifically PM2.5 and wood burning tracer) have an impact on preeclampsia and other pregnancy outcomes (low birth weight, birth weight, small of gestational age, preterm birth). The purpose of this data is to predict the spatio-temporal PM2.5 concentrations and wood tracers using land use regression models.\r\n\r\nThe campaign included sampling at 40 fixed sites in parallel with sampling at a central site located at a government monitoring station to control for background levels. Sites tried to maximize the spatial distribution of likely predictors such as number of residential dwellings, number of wood-stoves, PM2.5 concentrations and traffic impact. Two-weeks PM2.5 samples were collected at each site and repeated in 4 sessions covering a whole year. Samples were analyzed for mass and the wood-burning tracers levoglucosan and soluble potassium." }, "onlineresource_set": [] }, { "ob_id": 27394, "uuid": "c09fe30dab394977ab1c49a71aaf5b8b", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/AVHRR-LTDR/grid/v1.0/", "numberOfFiles": 457, "volume": 40555281206, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26188, "uuid": "4f377defc2454db9b2a6d032abfd0cbd", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): AVHRR-LTDR Burned Area Grid product, version 1.0", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The AVHRR - LTDR Grid v1.0 product described here contains gridded data of global burned area derived from spectral information from the AVHRR (Advanced Very High Resolution Radiometer) Land Long Term Data Record (LTDR) v5 dataset produced by NASA.\r\n\r\nThe dataset provides monthly information on global burned area on a 0.25 x 0.25 degree resolution grid from 1982 to 2017. The year 1994 is omitted as there was not enough input data for this year. For further information on the product and its format see the product user guide.\r\n\r\nThis v1.0 product is released as a beta version; only the gridded version of the data is available." }, "onlineresource_set": [] }, { "ob_id": 27398, "uuid": "1c7c080c07a9420ba78b49c8fc41ae88", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/bitmap/data/cmip5-derived-wd-tracks/rcp45", "numberOfFiles": 23, "volume": 410133075, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27397, "uuid": "2703d5a46d22430d887043b2715dae5a", "short_code": "ob", "title": "BITMAP: Tracks of western disturbances transiting Pakistan and north India from various CMIP5 RCP45 experiments", "abstract": "This dataset contains tracks generated using a bespoke tracking algorithm developed within the BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon And Poles) project, identifying and linking upper-tropospheric vortices (described in Hunt et al, 2018, QJRMS - see linked documentation). This utilised data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'RCP45' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'Historical' and 'RCP85' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection.\r\n\r\nWestern disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This is a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) on the 500 hPa layer. This differs from those tracks from the ECMWF Era-Interim data which were carried out on the 450-300 hPa layer. See linked documentation for details of the algorithms used.\r\n\r\nBITMAP was an Indo-UK-German project (NERC grant award NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. For further details on the project itself see the linked Project record." }, "onlineresource_set": [] }, { "ob_id": 27400, "uuid": "66952224e9b944a6b7bb32bbd1ecb9f2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/bitmap/data/cmip5-derived-wd-tracks/rcp85", "numberOfFiles": 23, "volume": 390319692, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27399, "uuid": "08ad495a1cf048d3b2fc3ffa376de47c", "short_code": "ob", "title": "BITMAP: Tracks of western disturbances transiting Pakistan and north India from various CMIP5 RCP85 experiment", "abstract": "This dataset contains tracks generated using a bespoke tracking algorithm developed within the BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon And Poles) project, identifying and linking upper-tropospheric vortices (described in Hunt et al, 2018, QJRMS - see linked documentation). This utilised data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'RCP85' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'Historical' and 'RCP45' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection.\r\n\r\nWestern disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This is a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) on the 500 hPa layer. This differs from those tracks from the ECMWF Era-Interim data which were carried out on the 450-300 hPa layer. See linked documentation for details of the algorithms used.\r\n\r\nBITMAP was an Indo-UK-German project (NERC grant award NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. For further details on the project itself see the linked Project record." }, "onlineresource_set": [] }, { "ob_id": 27401, "uuid": "7ace6fc8f8b8471ea5cdf7eca71d30de", "short_code": "result", "curationCategory": "", "dataPath": "https://www.ecad.eu/dailydata/predefinedseries.php", "numberOfFiles": 0, "volume": 0, "fileFormat": "ASCII format", "storageStatus": "online", "storageLocation": "external", "oldDataPath": [], "observation": { "ob_id": 20092, "uuid": "81784e3642bd465aa69c7fd40ffe1b1b", "short_code": "ob", "title": "EUSTACE / ECA&D: European land station daily air temperature measurements, homogenised", "abstract": "This dataset consists of homogenised time series of daily temperature observations for meteorological stations throughout Europe and the Mediterranean. The version of the dataset described here is a homogenised version of the ECA&D (European Climate Assessment & Dataset) daily dataset, produced with funding from the EU Horizon2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThe data is available directly from the ECA&D website and is referenced here to form part of the EUSTACE collection of data. The EUSTACE version of the product is that labelled 'Homogenized ECA Dataset'. This dataset will continue to be updated by the ECA&D project beyond the end of EUSTACE.\r\n\r\nData is available for non-commercial purposes under the ECA&D terms and conditions (see https://www.ecad.eu//documents/ECAD_datapolicy.pdf).\r\n\r\nTo cite this dataset please use Squintu, AA, van der Schrier, G, Brugnara, Y, Klein Tank, A. \r\nHomogenization of daily temperature series in the European Climate Assessment & Dataset. /Int J Climatol/. 2019; 39: 1243– 1261. https://doi.org/10.1002/joc.5874\r\n\r\nThe EU EUSTACE project has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171." }, "onlineresource_set": [] }, { "ob_id": 27403, "uuid": "bb1c0f56009c4e30913e60453c3201aa", "short_code": "result", "curationCategory": "", "dataPath": "https://www.ecad.eu//download/ensembles/download.php", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in NetCDF-4 format", "storageStatus": "online", "storageLocation": "external", "oldDataPath": [], "observation": { "ob_id": 20094, "uuid": "b2670fb9d6e14733b303865c85c2065d", "short_code": "ob", "title": "EUSTACE / E-OBS: Gridded European surface air temperature based on homogenised land station records since 1950", "abstract": "This dataset consists of an infilled analysis of European surface air temperature which has been based on homogenised meteorological land station records since 1950. The original homogenised station records are also available as a separate dataset. This dataset is a version of the ECA&D (European Climate Assessment & Dataset) E-OBS dataset, produced with funding from the EU Horizon2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project and contract C3S_311a_Lot4 with the Copernicus Climate Change Service. \r\n\r\nThe data is available directly from the ECA&D website and is referenced here to form part of the EUSTACE collection of data. The EUSTACE version of the product is E-OBSv19.0eHOM and future versions of the gridded dataset using homogenised temperature data will be produced operationally from E-OBSv20.0e onward. \r\n\r\nData is available for non-commercial purposes under the ECA&D terms and conditions (see https://www.ecad.eu//documents/ECAD_datapolicy.pdf).\r\n\r\nThe EU EUSTACE project has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171 and contract C3S_311a_Lot4 with the Copernicus Climate Change Service." }, "onlineresource_set": [] }, { "ob_id": 27426, "uuid": "5ed7650e55354823b18fbeab7e51f00d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/highresmip-derived/data/storm_tracks/TRACK", "numberOfFiles": 257, "volume": 8137586880, "fileFormat": "The data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27427, "uuid": "0b42715a7a804290afa9b7e31f5d7753", "short_code": "ob", "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TRACK algorithm", "abstract": "These data are the tropical storm tracks calculated using the \"TRACK\" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available.\r\n\r\nThe storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments:\r\n1950-2014 - highresSST-present, atmosphere-only;\r\n2015-2050 - highresSST-future experiment, atmosphere-only;\r\n1950-2050 – control-1950, coupled atmosphere-ocean;\r\n1950-2014 – hist-1950, coupled atmosphere-ocean;\r\n2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. \r\nThere is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval.\r\n\r\nOther variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values." }, "onlineresource_set": [] }, { "ob_id": 27433, "uuid": "33c053ed8ad34b699c8421d9c727d60a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/ATSR/L3C/v2.0/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 27439, "uuid": "42d54c1520e047a48b84331715c62c8c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/sa-monsoon/data/swaami/bristol-gcms/", "numberOfFiles": 20, "volume": 444306, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27438, "uuid": "e838a628dacc438ab4749b011ae7225f", "short_code": "ob", "title": "South Asian Monsoon: whole air sample halocarbon measurements onboard FAAM aircraft flights", "abstract": "This dataset contains halocarbon measurements made from whole air samples collected on board the FAAM (Facility for Airborne Atmospheric Measurements) aircraft during the NERC (National Environmental Research Council) South West Asian Aerosol Monsoon Interactions (SWAAMI) project and the Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) project - both of which were funded under the 'Drivers of Variability in the South Asian Monsoon' programme.\r\nWhole air samples were collected in 3 L stainless steel cylinders (WAS flasks) aboard the FAAM aircraft during 11 flights (b957, b959, b963, b966, b968, b969, b971, b972, b974, b975, b976). In total, 176 samples were collected above India and the Indian Ocean, from the 12th June - 10th July 2016. Samples were returned to the University of Bristol for analysis by Medusa Gas Chromatography Mass Spectrometry, resulting in concentration (mole fraction) data for chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and chlorocarbons (e.g. dichloromethane). Each sample was analysed three times in total, with the reported mole fraction taken to be the average of these three analyses. Samples were collected by Daniel Say, with significant input from Anita Ganesan (flight planning) and Simon O'Doherty (interpretation of measurements)." }, "onlineresource_set": [] }, { "ob_id": 27446, "uuid": "4dd8c95076644ff5ba5be1ed80102ca9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/eustace/data/satellite_skin_temperature/UOR/ocean/ATSR/L3C/v1.2/", "numberOfFiles": 7613, "volume": 38475900280, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 20087, "uuid": "b8285969426a4e00b7481434291ad603", "short_code": "ob", "title": "EUSTACE / CCI: Global clear-sky sea surface temperature from the (A)ATSR series at 0.25 degrees with estimates of uncertainty components, v1.2, 1991-2012", "abstract": "This dataset consists of Sea Surface Temperature data with uncertainty estimates, from the Along Track Scanning Radiometer series of satellite instruments (ATSR-1, ATSR-2 and AATSR). It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publically available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nThe Sea Surface Temperature data provided here were retrieved in the context of the European Space Agency's (ESA's) Climate Change Initiative (CCI) Sea Surface Temperature (SST) project, and comprise a Level 3c gridded product, on a 0.25 degree grid. This v1.2 product was provided for input into the EUSTACE project. It is provided here for traceability; more recent CCI data is available from the SST CCI catalogue pages." }, "onlineresource_set": [] }, { "ob_id": 27448, "uuid": "0ac2dc5d824d4b48a6cf2c9e37f1ad1f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sst/data/CDR_v2/Analysis/L4/v2.0/", "numberOfFiles": 12907, "volume": 210043354685, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27447, "uuid": "aced40d7cb964f23a0fd3e85772f2d48", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude-longitude grid. It combines the orbit data from the Advanced High Resolution Radiometer (AVHRR) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, "onlineresource_set": [] }, { "ob_id": 27449, "uuid": "be18154518104259a63e130e5693beaa", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel5p/data/L2_NO2/", "numberOfFiles": 696601, "volume": 26308537342235, "fileFormat": "These data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26441, "uuid": "e34eaffcf6bb4f3c87fffe0814f5c9bf", "short_code": "ob", "title": "Sentinel 5P: Nitrogen Dioxide (NO2) Total Column level 2 data", "abstract": "Sentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). These data products provide geolocated total, tropospheric, or stratospheric Nitrogen dioxide concentrations. The TROPOMI NO2 data products pose an improvement over previous NO2 data sets, particularly in their unprecedented spatial resolution (7×3.5 km2), but also in the separation of the stratospheric and tropospheric contributions of the retrieved slant columns, and in the calculation of the air-mass factors used to convert slant to total columns.\r\n\r\nNitrogen dioxide (NO2) and nitrogen oxide (NO) together are usually referred to as nitrogen oxides (NOx = NO + NO2). They are important trace gases in the Earth’s atmosphere, present in both the troposphere and the stratosphere. They enter the atmosphere as a result of anthropogenic activities (notably fossil fuel combustion and biomass burning) and natural processes (such as microbiological processes in soils, wildfires and lightning). During the daytime, i.e. in the presence of sunlight, a photochemical cycle involving ozone (O3) converts NO into NO2 (and vice versa) on a timescale of minutes, so that NO2 is a robust measure for concentrations of nitrogen oxides. Tropospheric and stratospheric concentrations of NO2 are monitored all over the world by a variety of instruments either ground-based, in-situ (balloon, aircraft), or satellite-based each with its own specific advantages." }, "onlineresource_set": [] }, { "ob_id": 27451, "uuid": "3177a123f9054fd790ec2096e13c7013", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1a/data/WV/L2_OCN/IPF_v2/", "numberOfFiles": 182686, "volume": 884996602213, "fileFormat": "Data are provided in SAFE format. With the data products inside the SAFE zip in NetCDF.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27450, "uuid": "fb629f940ef84efba012e7e29c831d66", "short_code": "ob", "title": "Sentinel 1A C-band Synthetic Aperture Radar: Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, "onlineresource_set": [] }, { "ob_id": 27452, "uuid": "9bd096558bfa411c97ec24d87176097e", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/eustace/data/satellitederived/mohc/eustace/v1.0/day/0/0/R001336/20190111/", "numberOfFiles": 28469, "volume": 457406744912, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 20095, "uuid": "f883e197594f4fbaae6edebafb3fddb3", "short_code": "ob", "title": "EUSTACE: Globally gridded clear-sky daily air temperature estimates from satellites with uncertainty estimates for land, ocean and ice, 1995-2016", "abstract": "This dataset consists of gloabl surface air temperature estimates derived from satellite surface skin temperature measurements, with uncertainties provided. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.\r\n\r\n The global surface air temperatures are provided separately for areas over land, sea and ice. These surface air temperatures have been derived from satellite skin temperatures using relationships between air and skin temperatures for each surface derived as part of the EUSTACE project. The air temperatures and uncertainty information are presented in a consistent format." }, "onlineresource_set": [] }, { "ob_id": 27455, "uuid": "45a1da3aa23448409d55eb2d8285dd99", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/dominica_post-maria_UAV/", "numberOfFiles": 254, "volume": 143585233877, "fileFormat": "Data are Jpeg, TIF and LAS formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27454, "uuid": "6027950b3f214818b661e4e11245b1a8", "short_code": "ob", "title": "Hurricane Maria and Dominica: geomorphological change and infrastructure damage baseline surveys: Unmanned Aerial Vehicle (UAV) data processed using Structure from Motion", "abstract": "Topographical and orthophotograph data sets created using Structure from Motion (SfM) from Unmanned Aerial Vehicle (UAV) data, presented as Orthophotographs (image and world file), Digital Surface Models (DSM) (image and world file), and point clouds (LAS format) using EPSG 32620 projection. The data was collected at selected sites on Dominica, Caribbean in January/February 2018 as part of a NERC funded project (NE/RO16968/1) to conduct geomorphological change and infrastructure damage baseline surveys following hurricane Maria. The data was flown using either a DJI Phantom 3 or 4, as indicated by the file name. If the file name includes 'NoGCP' in the file name the data uses the internal GPS and altitude of the DJI UAV. This means the data is not positionally accurate in absolute terms and should not be used in direct comparison to other georeferenced data. If the file name includes 'GCP' then the data was georeferenced using ground control derived from UAV data provided by the University of Michigan. This data is deemed accurate in absolute terms. (World Bank. 2018 Aug 31; Geotechnical Engineering Research Report(UMGE-2018/01))" }, "onlineresource_set": [] }, { "ob_id": 27461, "uuid": "eb4fd3e9f81942039655d13ab900b1ae", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/ba_uncertainties/", "numberOfFiles": 2, "volume": 20243861, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27460, "uuid": "2d9162f949e042adbdd6ec82c910ee5b", "short_code": "ob", "title": "Theoretical uncertainties for three global satellite-derived burned area estimates", "abstract": "Estimated annual burned area and uncertainties for three global satellite-derived burned area products. Each estimate is provided at 1° spatial resolution for the years 2001-2013. Theoretical annual uncertainties in burned area (standard errors) products are generated according to a multiplicative triple collocation error model and annualised according to a sampling of the 16-day burned area estimates from each product. The approach provides unique uncertainties at 1° for the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 burned area product (MCD64); the MODIS Collection 5.1 MCD45 product and the FireCCI50 product. Please note that due to limitations in the available sampling for the error model, around 40% of cells do not have uncertainty estimates." }, "onlineresource_set": [] }, { "ob_id": 27464, "uuid": "116f7b0867b246e0815ce90145b179fc", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/eustace/data/satellite_skin_temperature/DMI/ice/AASTI/L2/v1.1/", "numberOfFiles": 194140, "volume": 5343033209417, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 20089, "uuid": "60b820fa10804fca9c3f1ddfa5ef42a1", "short_code": "ob", "title": "EUSTACE/AASTI: Global clear-sky ice surface temperature data from the AVHRR series on the satellite swath with estimates of uncertainty components, v1.1, 2000-2009", "abstract": "This dataset provides global clear-sky ice surface temperature data derived from infrared satellite measurements, with estimates of the uncertainty components included. It forms part of the collection of datasets from the EUSTACE (EU Surface Temperature for All Corners of Earth) project, which is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nThe data provided here is Level 2 ice surface temperature data from the AVHRR (Advanced Very High Resolution Radiometer) series of satellite instruments, provided on the original satellite swath. This original AASTI (Arctic and Antarctic Ice Surface Temperatures from thermal infrared satellite sensors ) was produced under the EU NACLIM and the NORMAP projects; This version of the dataset has been extended under the EUSTACE (EU Surface Temperature for All Corners of Earth) project to also include components of uncertainty." }, "onlineresource_set": [] }, { "ob_id": 27466, "uuid": "f1775351fd8e4533bd158c518c8fdecf", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel1b/data/WV/L2_OCN/IPF_v2/", "numberOfFiles": 135608, "volume": 879324274087, "fileFormat": "Data are provided in SAFE format. With the data products inside the SAFE zip in NetCDF.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32795, "uuid": "e9df102eeac54d04b24686fc026c63f9", "short_code": "ob", "title": "Sentinel 1B C-band Synthetic Aperture Radar (SAR): Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1B satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user." }, "onlineresource_set": [] }, { "ob_id": 27468, "uuid": "22a9037ae7fd49fba86ca3f48b52b775", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel5p/data/L2_CH4/", "numberOfFiles": 69939, "volume": 2084217313363, "fileFormat": "These data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27467, "uuid": "b33ec61670644124ab4af661009ec507", "short_code": "ob", "title": "Sentinel 5P: Methane (CH4) Total Column level 2 data", "abstract": "This dataset contains level 2 (geolocated) total column Methane (CH4) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying TROPOMI. Methane (CH4) is an important atmospheric trace gas for our understanding of tropospheric chemistry. TROPOMI aims at providing CH4 column concentrations with high sensitivity to the Earth’s surface, good spatiotemporal coverage, and sufficient accuracy to facilitate inverse modeling of sources and sinks. TROPOMI uses absorption information from the Oxygen-A Band (760nm) and the SWIR spectral range to monitor CH4 abundances in the Earth's atmosphere.\r\n\r\nThe Sentinel-5 Precursor mission flies in loose formation (about 3.5 – 5 minutes behind) with the S-NPP (SUOMI-National Polar-orbiting Partnership) mission to use VIIRS (Visible Infrared Imaging Radiometer Suite) cloud information to select cloud-free TROPOMI pixels for high quality methane retrieval." }, "onlineresource_set": [] }, { "ob_id": 27470, "uuid": "7242e311f72a4aea8eef8490b34b4f10", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/sentinel5p/data/L2_SO2/", "numberOfFiles": 66506, "volume": 32365621856509, "fileFormat": "These data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27469, "uuid": "19a97e70e5a848ddaebac0243ff41684", "short_code": "ob", "title": "Sentinel 5P: Sulphur Dioxide (SO2) Total Column level 2 data", "abstract": "This dataset contains total column Sulphur Dioxide (SO2) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite. \r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI instrument is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth.\r\n\r\nSulphur dioxide (SO2) enters the Earth’s atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term pollution to effects on climate. Only about 30% of the emitted SO2 comes from natural sources; the majority is of anthropogenic origin. SO2 emissions adversely affect human health and air quality. SO2 has an effect on climate through radiative forcing, via the formation of sulphate aerosols. Volcanic SO2 emissions can also pose a threat to aviation, along with volcanic ash. S5P/TROPOMI samples the Earth’s surface with a revisit time of one day with an unprecedented spatial resolution of 3.5 x 7 km which allows the resolution of fine details including the detection of much smaller SO2 plumes.\r\n\r\nBesides the total column of SO2, enhanced levels of SO2 are flagged within the products. The recognition of enhanced SO2 values is essential in order to detect and monitor volcanic eruptions and anthropogenic pollution sources. Volcanic SO2 emissions may also pose a threat to aviation, along with volcanic ash." }, "onlineresource_set": [] }, { "ob_id": 27476, "uuid": "404b309024c1418dbfaf5d456d510d7e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/wfeng-tomcat-1979-2016/", "numberOfFiles": 2, "volume": 2390758727, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27475, "uuid": "4de00ab3487b4fc99ea5a53a86715848", "short_code": "ob", "title": "TOMCAT/SLIMCAT Monthly Mean Ozone Output: 1979-2016", "abstract": "This dataset contains monthly mean ozone output between 1979-2016 simulated by the TOMCAT/SLIMCAT model. \r\n\r\nThe data contains ozone and a passive odd-oxygen tracer that is set equal to the modelled chemical Ox =O(3 P)+O(1 D)+ O3 concentration on the first day every year and then advected passively without chemistry. It was simulated using the TOMCAT/SLIMCAT three-dimensional offline chemical transport model, using σ-p vertical coordinates and identical stratospheric chemistry and aerosol loading, solar flux input and surface mixing ratios of long-lived source gases. \r\n\r\nThe long-term simulation (1979-2016) was performed with a T42 horizontal resolution of approximately 2.8° latitude × 2.8° longitude and 32 levels from the surface to 60 km. The model uses horizontal winds and temperature from the reanalysis data of the European Centre for Medium-Range Weather Forecasts. \r\n\r\nThe TOMCAT/SLIMCAT model contains a detailed description of the distribution of chemical species for the troposphere and stratosphere including heterogeneous reactions on sulfate aerosols and liquid/solid polar stratospheric clouds either with a simple or full microphysical PSC scheme, as well as chemistry reactions of the oxygen, nitrogen, hydrogen, chlorine and bromine families. The model uses a hybrid σ-p or σ-θ vertical coordinate and has an option to run at different horizontal resolution forced by different meteorological reanalysis. Tracer transport uses the conservation of the second order moments scheme of Prather. Vertical advection is calculated from the divergence of the horizontal mass flux." }, "onlineresource_set": [] }, { "ob_id": 27479, "uuid": "8f187cf8a5434bbba0dbf4874d959afc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/sea-surface-iodide/data/v0.0.1/", "numberOfFiles": 14, "volume": 13401448237, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27478, "uuid": "6448e7c92d4e48188533432f6b26fe22", "short_code": "ob", "title": "Global predicted sea-surface iodide concentrations v0.0.1", "abstract": "This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution for the year 1970. It was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThis dataset is the output used in the published paper 'A machine learning based global sea-surface iodide distribution' ( https://doi.org/10.5194/essd-2019-40) \r\n\r\nThe main ensemble prediction (\"Ensemble_Monthly_mean \") is provided in a NetCDF file as a single variable (1). A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nFor ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a further file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, this global data product will be updated through a \"living data\" model. The dataset versions follow semantic versioning (https://semver.org/) This dataset contains the first publicly released version v0.0.1 and supersedes the pre-review dataset named v0.0.0, Please refer to the paper referenced above for the current version number and information on this.\r\n\r\nUpdates for v0.0.1 vs. v0.0.0\r\n- Additional files included of the core data re-gridded for 0.5x0.5 degree and 0.25x0.25 degree horizontal resolution.\r\n- Minor updates were applied to all metadata in NetCDF files.\r\n- Updates were made to coordinate grids used for regriding files from 1x1 degree to 4x5 degree." }, "onlineresource_set": [] }, { "ob_id": 27481, "uuid": "adfd131cc4d444c9814b0c6ddcedec8f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/tacolneston/", "numberOfFiles": 2, "volume": 14825, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27474, "uuid": "311d8ce894f742bb84fa7dd639ea1b2c", "short_code": "ob", "title": "GAUGE: Carbon Dioxide measurements taken from Tacolneston Tower", "abstract": "This dataset contains measurements of enrichment of 14C in carbon dioxide in air taken from Tacolneston tower. The samples were taken at 185m and analysed by Aerosol Mass Spectrometer (AMS) at Keck-Carbon Cycle AMS facility, University of California, Irvine.\r\n\r\nThis data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). The 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": 27485, "uuid": "48ccbe1af4d04c95a17ea81b6ee9db19", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/gauge/data/tower/macehead", "numberOfFiles": 2, "volume": 14955, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27483, "uuid": "eb3f1419034c42109e14ab94f4320f0c", "short_code": "ob", "title": "GAUGE: Carbon Dioxide measurements taken from Mace Head Tower", "abstract": "This dataset contains measurements of enrichment of 14C in carbon dioxide in air taken from the sampling tower at Mace Head Observatory. The samples were taken at 185m and analysed by Aerosol Mass Spectrometer (AMS) at Keck-Carbon Cycle AMS facility, University of California, Irvine.\r\n\r\nThis data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). The 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": 27488, "uuid": "90d807fae4c54b5dbbc659eca7cd6402", "short_code": "result", "curationCategory": "B", "dataPath": "/neodc/lsasaf/data/msg/seviri/lst/v3.0/", "numberOfFiles": 141584, "volume": 11528687306505, "fileFormat": "HDF5", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27489, "uuid": "29e8c659fdec4217b47399bc5c19dd54", "short_code": "ob", "title": "Meteosat (MSG) Seviri Land Surface Temperature from the Land Surface Analysis Satellite Applications Facility (LSASAF) version 3.0", "abstract": "The Satellite Application Facility (SAF) on Land Surface Analysis (LSA) is part of the SAF Network, a set of specialised development and processing centres, serving as EUMETSAT (European organization for the Exploitation of Meteorological Satellites) distributed Applications Ground Segment. The SAF network complements the product-oriented activities at the EUMETSAT Central Facility in Darmstadt. The main purpose of the LSA SAF is to take full advantage of remotely sensed data, particularly those available from EUMETSAT sensors, to measure land surface variables, which will find primarily applications in meteorology (http:/lsa-saf.eumetsat.int)\r\n.\r\nThe spin-stabilised Meteosat Second Generation (MSG) has an imaging-repeat cycle of 15 minutes. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer embarked on the MSG platform encompasses unique spectral characteristics and accuracy, with a 3km resolution (sampling distance) at nadir (1km for the high-resolution visible channel), and 12 spectral channels." }, "onlineresource_set": [] }, { "ob_id": 27494, "uuid": "43880c9d2b6a4a5d8a6ba8982a5743d1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.03/", "numberOfFiles": 2924, "volume": 50162999, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27492, "uuid": "d6768285fdc8408bbb9b02bb0f317774", "short_code": "ob", "title": "CRU CY 4.03: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.03 (Jan. 1901 - Dec. 2018)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.03 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2019 by CRU at the University of East Anglia and extends the CRU CY4.02 data to include 2018. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.03 is derived directly from the CRU time series (TS) 4.03 dataset. CRU CY version 4.03 spans the period 1901-2018 for 292 countries.\r\n\r\nTo understand the CRU CY4.03 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.03. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.03 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, "onlineresource_set": [ 26645 ] }, { "ob_id": 27495, "uuid": "d4e9450e84014567b3539cda4e8662b4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.03", "numberOfFiles": 399, "volume": 34683770527, "fileFormat": "Data are provided in ASCII and NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob", "title": "CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2018)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.03 data are month-by-month variations in climate over the period 1901-2018, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.03 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2018.\r\n\r\nThe CRU TS4.03 data were produced using angular-distance weighting (ADW) interpolation. All version 4 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.03 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies." }, "onlineresource_set": [ 26646 ] }, { "ob_id": 27496, "uuid": "84e5618734e040fa8abd1bd5a6483b38", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cru/data/cru_jra/cru_jra_2.0/", "numberOfFiles": 1182, "volume": 399316225261, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year. Each file is approximately 330MB when compressed.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27491, "uuid": "7f785c0e80aa4df2b39d068ce7351bbb", "short_code": "ob", "title": "CRU JRA v2.0: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2018.", "abstract": "The CRU JRA V2.0 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2018.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 4.03 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, "onlineresource_set": [] }, { "ob_id": 27498, "uuid": "3fefc3ce200d47e29fb8a94dd1e4e66f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 27503, "uuid": "af8ec41eea4e402d9d818ae8f136b6dd", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/eustace/data/combined/mohc/eustace/v1.0/day/0/0/R001400/20190326/global/", "numberOfFiles": 60631, "volume": 1640021735505, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob", "title": "EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2015, v1.0", "abstract": "This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.0 of the product, which has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThis product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas.\r\n\r\nThis data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out." }, "onlineresource_set": [] }, { "ob_id": 27506, "uuid": "fdf84228ce84471eb038ed9a6a9742c8", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eustace/data/validation/v1.0/", "numberOfFiles": 2321, "volume": 1804364351, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26507, "uuid": "4b34a2c6890f4e518cacc88911193354", "short_code": "ob", "title": "EUSTACE: Coincident daily air temperature estimates and reference measurements, for validation, 1850-2015, v1.0", "abstract": "This dataset contains matched in situ reference and EUSTACE temperature estimates used in the validation of version 1.0 of the EUSTACE Globally gridded clear-sky daily air temperature estimates from satellites product and the version 1.0 EUSTACE Global daily air temperature product. The data are made available to allow traceability of the validation. This dataset has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nNote that due to the licensing conditions of some of the validation datasets this data is made available for non-commercial purposes only. Additionally some of the datasets used in validation of the ice data do not allow onward redistribution, so only the ocean and land data have been included in this dataset." }, "onlineresource_set": [] }, { "ob_id": 27508, "uuid": "fb5a1c864db5445f861646c020010593", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/fiduceo/data/fcdr/microwave/v4.1/", "numberOfFiles": 427970, "volume": 2466346897019, "fileFormat": "NetCDF fiuduceo format see documentation for \r\n\r\n - Basic telemetry: longitude, latitude, time, satellite and solar angles (these angles are not provide for SSMT-2);\r\n- Brightness temperatures for channels 1-5;\r\n-Independent, structured and common uncertainty for channels 1-5;\r\n-for each scan line: original scan line number of the l1b files\r\n- for each scan line: indicator which l1b file it belongs to\r\n-8 bitfields indicating identified problems with the data: one bitmask indicating level of trust in the data (per pixel and scanline), one bitmaks indicating sensor specific quality issues (per pixel and scanline); one bitmask indicating quality issues per scan line, i.e. transmitter status so far (per scanline), 5 bitmasks indicating certain quality issues for each channel (per pixel and per scanline)\r\nThe dimensions of the variables in the NetCDF file are x and y, indicating the pixel and scan line, respectively. Additionally, there are the dimensions channel and n_frequencies, denoting the number of channels and the number of frequencies (for which Spectral Response Function is defined).\r\nfull descriptions of file specification and product User Guide in Documentation", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26981, "uuid": "a8e9f44965434f3b861eba77688701ef", "short_code": "ob", "title": "FIDUCEO: Fundamental Climate Data Record of Microwave Brightness Temperatures with uncertainties, 1994 - 2017, v4.1", "abstract": "The FIDUCEO Microwave Fundamental Climate data record, v4.1, contains microwave brightness temperatures and uncertainties for series of satellite instruments (all mission years of SSMT2 on F11, F12, F14, F15; AMSU-B on NOAA15, NOAA16 and NOAA17; and MHS missions (NOAA18, NOAA19, MetopA,-B)). The presented FCDR is a long data record of increased consistency among the instruments compared to the operational data record and is a long enough data record to generate climate data records (CDRs) for climate research. The improvements are based on the strict application of the measurement equation as well as dedicated corrections and improvements within the calibration process. The data record contains quantified uncertainty components, respecting the correlation behaviour of underlying effects.\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation" }, "onlineresource_set": [] }, { "ob_id": 27510, "uuid": "0eb49666cdc34e309cfcbbaaa84b9165", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/aphh/data/beijing/york-gc-fid-field1", "numberOfFiles": 3, "volume": 774113, "fileFormat": "NASA-Ames", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27509, "uuid": "77e44e0d5df14e89ab35c0af1f7cb726", "short_code": "ob", "title": "APHH:Volatile Organic Compound Measurements (VOCs) made at the IAP-Beijing site during the summer and winter campaigns", "abstract": "This dataset contains Volatile Organic Compound (VOCs) measurements made at the Institute of Atmospheric Physics land station, IAP-Beijing, site using the York Gas Chromatograph with Flame Ionisation Detectors (GC-FID) System, during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme." }, "onlineresource_set": [] }, { "ob_id": 27514, "uuid": "bca35f18c5894578aa8b8270b62c96fd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sst/data/CDR_v2/ATSR/L3C/v2.0/", "numberOfFiles": 14664, "volume": 191215934338, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27405, "uuid": "004a2953edbc4c2e9b89bda0e2009e55", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period 11/1991 - 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, "onlineresource_set": [] }, { "ob_id": 27516, "uuid": "4e0c804e43c84447b8b6c194cd91609f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/AVHRR/L3U/v2.0/", "numberOfFiles": 364921, "volume": 3311877473473, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27515, "uuid": "79dd8e867b5a4bc28527118aae306095", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) Climate Data Record version 2.0", "abstract": "This v2.0 SST_cci Advanced Very High Resolution Radiometer (AVHRR) level 3 uncollated data (L3U) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 - 12/2016. This Level 3 Uncollated (L3U) product provides these SST data on a 0.05 regular latitude-longitude grid with a single orbit per file. \r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, "onlineresource_set": [] }, { "ob_id": 27518, "uuid": "0366bf771c9c4acd8c0231ec58133c94", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/AVHRR/L3C/v2.0/", "numberOfFiles": 51357, "volume": 2015491838953, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27517, "uuid": "13b5cf97be4446428d3396723864e121", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period 08/1981 - 12/2016. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ ." }, "onlineresource_set": [] }, { "ob_id": 27520, "uuid": "eeb78601950448f784795d7d096e2906", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/ATSR/L3U/v2.1/", "numberOfFiles": 100625, "volume": 289284552948, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27519, "uuid": "2282b4aeb9f24bc3a1e0961e4d545427", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. The L3U products provide these SST data on a 0.05 regular latitude-longitude grid with with a single orbit per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 and the Long Term product v1.1. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27521, "uuid": "838ff71841184f5fa296544f598c8692", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/ard4ceos/data/gibraltar/", "numberOfFiles": 222, "volume": 77864015498, "fileFormat": "These data are provided in HDR and IMG format suitable for use with the ESA SNAP toolbox. Each product comes with various masks and metadata files.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27542, "uuid": "cd56a33d69b946fd9dfb42f3660ee43a", "short_code": "ob", "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Gibraltar", "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Gibraltar. Two months' of data are provided for each area in the CARD4L v3.2.2 standard format. The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office. The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC." }, "onlineresource_set": [] }, { "ob_id": 27523, "uuid": "752fa4b3457d44e591616ba95e0201eb", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/ATSR/L3C/v2.1/", "numberOfFiles": 14667, "volume": 264054911885, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27522, "uuid": "5db2099606b94e63879d841c87e654ae", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27525, "uuid": "ab7ee30313754d16b462808da579ae34", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/ATSR/L2P/v2.1/", "numberOfFiles": 100625, "volume": 2801504738474, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SST's to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27527, "uuid": "b7115831a87c47829618635c34b8bbec", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sst/data/CDR_v2/AVHRR/L2P/v2.1/", "numberOfFiles": 364784, "volume": 5893940007199, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27526, "uuid": "373638ed9c434e78b521cbe01ace5ef7", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27529, "uuid": "fc417e1532834843b4599afd7bd97ef4", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/AVHRR/L3U/v2.1/", "numberOfFiles": 364783, "volume": 3347334478251, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27528, "uuid": "42f7230ab55641cdac1bba84eabd446a", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) level 3 uncollated data (L3U) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L3U product provides these SST data on a 0.05 regular latitude-longitude grid with with a single orbit per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27531, "uuid": "77f82aa13a8047ae859cee5866917183", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/AVHRR/L3C/v2.1/", "numberOfFiles": 50995, "volume": 2899890140501, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27530, "uuid": "7db4459605da4665b6ab9a7102fb4875", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the AVHRR series of satellite instruments. It covers the period between 08/1981 and 12/2016. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27533, "uuid": "d1cd109736504d738d5572a8b34e7656", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/Analysis/L4/v2.1/", "numberOfFiles": 25813, "volume": 446774491104, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27532, "uuid": "62c0f97b1eac4e0197a674870afe1ee6", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude - longitude grid. It combines data from both the Advanced Very High Resolution Radiometer (AVHRR ) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27538, "uuid": "a1c5869b6e1043e3b36be8afdb320171", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/quartz_ice_nucleating/", "numberOfFiles": 3, "volume": 58646, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27537, "uuid": "171726739bb54d0ba84cdde15c5b17ae", "short_code": "ob", "title": "Ice-nucleating ability measurements of quartz samples", "abstract": "This dataset contains ice-nucleating ability measurements of quartz samples using a Microlitre Nucleation by Immersed Particle Instrument (uL-NIPI). These measurements were taken as part of the Measuring atmospheric marine ice nucleating particles using technologies developed for cryopreservation project, funded by NERC (NE/M010473/1). The measurements where taken during the course of 2017 at the School of Earth and Environment, University of Leeds.\r\n\r\nThis dataset contains two files: \r\nQuartz_Fraction_frozens_and_ns.csv: This file contains the freezing temperature, fraction frozen and active site density (ns) for 10 quartz samples. Each of these experiments were repeated a second time and are recorded as run 2.\r\nQuartz_Time_series_ns.csv: This file contains the freezing temperatures and active site density (ns) for 3 quartz samples when left for differing periods of time in water and air." }, "onlineresource_set": [] }, { "ob_id": 27547, "uuid": "f69fb888a310449784c3e2e194ad3a0b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/moya/data/stations/sapper-hill-falkland", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 27549, "uuid": "4fe4d4da987a44f88456a848c29e3a89", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/moya/data/stations/sapper-hill-falkland", "numberOfFiles": 2, "volume": 3565330, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27548, "uuid": "96a6ad89375a4f9ca68489758f9259da", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Hourly averaged methane measurements taken from Sapper Hill, Falkland Islands Atmospheric Observatory, 2010-2018", "abstract": "This dataset contains hourly averaged methane measurements taken from Sapper Hill, Falkland Islands Atmospheric Observatory from 2010-2018. Sapper Hill, Falkland Islands Atmospheric Observatory was established by the Royal Holloway Greenhouse Gas Research Group in October 2010 and handed to the British Antarctic Survey AIC group in September 2016 for long term observations of atmospheric mixing ratios. The observatory is located on Sapper Hill overlooking Stanley.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." }, "onlineresource_set": [] }, { "ob_id": 27554, "uuid": "e0c7f7da3d7e4dbd849ec3293467674a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/previous_versions/Tacolneston", "numberOfFiles": 120, "volume": 711091031, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27558, "uuid": "ae483e02e5c345c59c2b72ac46574103", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6, CO and halocarbon measurements from Tacolneston Tall Tower, Norfolk", "abstract": "Measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6), carbon monoxide (CO) and a suite of halocarbons and other trace gases have been taken at Tacolneston tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nTacolneston (TAC) is a rural UK site located on the in the east of England, 16 km south-west of Norwich (population ~200,000), and 32 km east of Thetford (population ~20,000), in Norfolk, UK.\r\n\r\nThree gas chromatography instruments measured atmospheric N2O, SF6, CO, H2 and other trace gas species from an inlet positioned at a height of 100 m above ground level between 2012-01-01 and 2017-03-09. The inlet height was then changed to 185 m above ground level. Two instruments (GC-RGA and GC-ECD) were decommissioned on 2018-03-13. The remaining two continue to operate. Two laser-based instruments have been used to measure CO2, CH4, N2O and CO from inlet heights of 54 m, 100 m, and 185 m above ground level. Due to the location of the site, far from strong sources of local pollution, measurements from this site can be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Ridge Hill and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, "onlineresource_set": [] }, { "ob_id": 27562, "uuid": "15da1bd09e8c4c9183ef3309f02d8f9f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/previous_versions/Ridge_Hill/", "numberOfFiles": 19, "volume": 526200486, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27559, "uuid": "4370dacd17544eb781aa1e51cc4dc633", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, and SF6 measurements from Ridge Hill Tall Tower, Herefordshire", "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and sulfur hexafluoride (SF6) have been taken at Ridge Hill tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nRidge Hill (RGL) is a rural UK site located 13 km south-east of Hereford (population ~55,000), and 30 km south-west of Worcester (population ~94,000), in Herefordshire, UK. Measurements of SF6 and N2O have been taken using gas chromatography with an electron capture detector (GC-ECD), sampling from a height of 90 m above ground level. Measurements are also taken from inlet heights of 45 m and 90 m above ground level using laser-based techniques for CO2 and CH4. Due to the location of the site, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, "onlineresource_set": [] }, { "ob_id": 27564, "uuid": "4e63c932cf1749c6b46976d439a4e2d9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/previous_versions/Bilsdale", "numberOfFiles": 52, "volume": 603829253, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27563, "uuid": "d2090552c8fe4c16a2fd7d616adc2d9f", "short_code": "ob", "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Bilsdale Tall Tower, North York Moors National Park", "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) made at Bilsdale Tall Tower, North York Moors National Park were made for the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nBilsdale (BSD) tall tower is in a remote area of the North York Moors National Park and is the first monitoring site in the northeast region of England. The closest large conurbations are York and Middlesbrough, located 30 miles south and 16 miles northeast, respectively. The tower is on a high plateau overlooking green valleys used mainly for livestock (sheep and cattle). Between 2014-01-01 and 2017-03-17, air samples are taken from a line sampling 108 m above ground level. From 2017-03-17 onwards, air was sampled from 248 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Ridge Hill, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\n\r\nThis work was funded by Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol." }, "onlineresource_set": [] }, { "ob_id": 27566, "uuid": "4120103535444941a01e084fc25aafc9", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era5/data/oper/an_ml/", "numberOfFiles": 2943052, "volume": 427741401471156, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32093, "uuid": "f809e61a61ee4eb9a64d4957c3e5bfac", "short_code": "ob", "title": "ECMWF ERA5: model level analysis parameter data", "abstract": "This dataset contains ERA5 model level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27567, "uuid": "5675b2d4c3c048cda68d76383bdd2d50", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ecmwf-era5/data/oper/an_sfc/", "numberOfFiles": 5356105, "volume": 6241422299609, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27572, "uuid": "c1145ccc4b6d4310a4fc7cce61041b63", "short_code": "ob", "title": "ECMWF ERA5: surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27568, "uuid": "0e72c73f4a5a4a949cf816e1619ca0d2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ecmwf-era5/data/oper/fc_sfc/", "numberOfFiles": 3296064, "volume": 4972437913627, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 30235, "uuid": "3e7ad71f09c244318f9bddf92e5fcc4b", "short_code": "ob", "title": "ECMWF ERA5: surface level forecast parameter data", "abstract": "This dataset contains ERA5 surface level forecast parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel and surface level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27569, "uuid": "813c2be6725741f9bcb8a3a7feea6f72", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ecmwf-era5/data/enda/an_sfc/", "numberOfFiles": 13733598, "volume": 20862603350288, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32094, "uuid": "bd302093953a48359ab33e4b48324f5f", "short_code": "ob", "title": "ECMWF ERA5: 10 ensemble member surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data from 10 ensemble runs. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble members were used to derive means and spread data (see linked datasets). Ensemble means and spreads were calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27570, "uuid": "5a4b2834771244eba07ec558b450ba86", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ecmwf-era5/data/enda/em_sfc/", "numberOfFiles": 1373362, "volume": 1972078641228, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32096, "uuid": "d8021685264e43c7a0868396a5f582d0", "short_code": "ob", "title": "ECMWF ERA5: ensemble means of surface level analysis parameter data", "abstract": "This dataset contains ERA5 surface level analysis parameter data ensemble means (see linked dataset for spreads). ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble means and spreads are calculated from the ERA5 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27571, "uuid": "827e60b682644cd0abddc8c7af0f4761", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ecmwf-era5/data/enda/es_sfc/", "numberOfFiles": 1373362, "volume": 2013348233070, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32095, "uuid": "3c3c845f1dfb4788a2577651cd758ee9", "short_code": "ob", "title": "ECMWF ERA5: ensemble spreads of surface level analysis parameter data", "abstract": "This dataset contains ensemble spreads for the ERA5 surface level analysis parameter data ensemble means (see linked dataset). ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. The ensemble means and spreads are calculated from the ERA5 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details." }, "onlineresource_set": [] }, { "ob_id": 27575, "uuid": "b0efb29ca1cf434f9c8c5c701a4043d8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/uk-thunder-days/data/v1/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 27576, "uuid": "e96d40656a93414997181c8302308283", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/uk-thunder-days/data/v1/", "numberOfFiles": 2, "volume": 160411, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27577, "uuid": "2503df629a8a485e8582e5150876b210", "short_code": "ob", "title": "Thunderstorm occurrence at ten sites across the UK digitsied from the UK Met Office Monthly Weather Records (1884-1993)", "abstract": "This dataset contains UK Met Office Daily Weather Reports (DWR) from ten sites from the UK Met Office Monthly Weather Records (1884-1993), using the recently-scanned UK Met Office Monthly Weather Reports (MWR). The data are presented as is, with no attempt to provide any corrections or calibration. Approximately half the stations exhibit sharp drops in thunderdays at various points between 1960 and 1990. Comparison with nearby Met Office Integrated Data Archive System (MIDAS) stations suggests the low thunderdays are the result of changes in observing practice, rather than genuine changes in thunderstorm occurrence. These potential data issues limit interpretation of the long-term trends. \r\n\r\n DWR contain extensive logs of UK thunderstorm activity, in the form of thunderday observations. To date, only a very small fraction of these data have been digitised as part of the MIDAS dataset, and exclusively after 1950." }, "onlineresource_set": [] }, { "ob_id": 27578, "uuid": "8bee1856bdff4db38284fc8b248d54db", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/avhrr_dundee/data/Level_0/", "numberOfFiles": 235544, "volume": 9560503697698, "fileFormat": "Data are provided in RAW format, from the NEODAAS Dundee satellite receiving station.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27486, "uuid": "1d76c5f6007648f8b81c37cbcb62024a", "short_code": "ob", "title": "Advanced Very High Resolution Radiometer (AVHRR) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "The Advanced Very High Resolution Radiometer (AVHRR) is a broad-band, four to six-channel (depending on the model) scanner, sensing in the visible, near-infrared, and thermal infrared portions of the electromagnetic spectrum. This sensor is carried on the National Oceanic and Atmospheric Administration's (NOAA's) Polar Orbiting Environmental Satellites (POES), beginning with TIROS-N in 1978.\r\n\r\nAVHRR provides day and night imaging of land, water, and clouds as well as measurements of sea surface temperature, ice snow, and vegetation cover.\r\n\r\nNEODAAS (NERC Earth Observation Data Acquisition and Analysis Service) Dundee Satellite Receiving Station retrieved data from the NOAA satellites and initially published the products. The data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive." }, "onlineresource_set": [] }, { "ob_id": 27584, "uuid": "2e36d78f427c46959c005c49fe2cbb3c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/ard4ceos/data/plymouth/", "numberOfFiles": 200, "volume": 89994207065, "fileFormat": "These data are provided in HDR and IMG format suitable for use with the ESA SNAP toolbox. Each product comes with various masks and metadata files.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27583, "uuid": "67074956dd8b45a59f3fca8c60eca9b7", "short_code": "ob", "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Plymouth", "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Plymouth. Two months' of data are provided for each area in the CARD4L v3.2.2 standard format. The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office. The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC." }, "onlineresource_set": [] }, { "ob_id": 27586, "uuid": "0e0117686dda4cbaabcbc6085947780f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci_sst/data/lt/AVHRR/L2P/v01.0/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 27593, "uuid": "e73148c6e1d6483a9bce9dd9ea3eaab5", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sst/data/CDR_v2/Climatology/L4/v2.1/", "numberOfFiles": 366, "volume": 2794085242, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27534, "uuid": "83e51cf29821434ea14db56c564946d5", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Climatology Data Record (CDR) consists of Level 4 daily climatology files gridded on a 0.05 degree grid. \r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . \r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 27594, "uuid": "01b2457833d145789492ada401deaa03", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/diven", "numberOfFiles": 13483, "volume": 72756447035, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27596, "uuid": "602f11d9a2034dae9d0a7356f9aeaf45", "short_code": "ob", "title": "The Disdrometer Verification Network (DiVeN): particle diameter and fall velocity measurements from a network of Thies Laser Precipitation Monitors around the UK (2017-2019)", "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community.\r\n\r\nEvery Thies LPM is able to designate each observed hydrometeor into one of 20 diameter bins from >= 0.125 mm to > 8 mm, and one of 22 speed bins from > 0.0 m s-1 to > 20.0 m s-1. A laser and diode receiver operate in tandem; a falling particle will occlude the beam. The duration of the occlusion and the maximum extent (measured by diode voltage) determines the fall velocity and diameter respectively. Using empirically-derived relationships, the instrument classifies precipitation into one of 11 possible hydrometeor classes in the form of a 'present weather code', with an associated indicator of uncertainty. To provide immediate feedback to data users, the observations are plotted in near real time (NRT) and made publicly available on a website within 7 minutes (see linked documentation section). A 'present weather code' is a World Meteorological Organisation (WMO) code used to define the present observatory weather (see linked documentation for the WMO present weather code list).\r\n\r\nThe instruments belonged to the Met Office but were loaned to the National Centre for Atmospheric Science (NCAS) for the duration of the project. NCAS handle the receiving server for real-time DiVeN data, which is the only route to this dataset. On-site collection of data are not guaranteed in all circumstances. Some of the sites rely on unreliable O2 3G dongles; whilst the Feshie instrument was solar and wind powered and the Coverhead instrument suffered from power / connectivity issues. Any missing data can be explained by these reasons, and are handled appropriately in the files. The data were collated into daily files of 1440 minutes. More information can be found in Pickering et al., 2018, see related documentation." }, "onlineresource_set": [] }, { "ob_id": 27609, "uuid": "ae193d3dbf3c4f979dd473e4f3240e7c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/highresmip-derived/data/storm_tracks/TempExt", "numberOfFiles": 237, "volume": 1616803602, "fileFormat": "The storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere .", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27580, "uuid": "438268b75fed4f27988dc02f8a1d756d", "short_code": "ob", "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TempestExtremes algorithm", "abstract": "These data are the tropical storm tracks calculated using the \"TempestExtremes\" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available.\r\n\r\nThe storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments:\r\n1950-2014 - highresSST-present, atmosphere-only;\r\n2015-2050 - highresSST-future experiment, atmosphere-only;\r\n1950-2050 – control-1950, coupled atmosphere-ocean;\r\n1950-2014 – hist-1950, coupled atmosphere-ocean;\r\n2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. \r\nThere is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval.\r\n\r\nOther variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values." }, "onlineresource_set": [] }, { "ob_id": 27611, "uuid": "ab53d970fe964bcf94e1015725223b26", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/beijing/lanc-fastjx", "numberOfFiles": 3, "volume": 12008154, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27613, "uuid": "4a1d547929d44698b91e0d75d417220b", "short_code": "ob", "title": "APHH: Simulated photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer campaigns", "abstract": "This dataset contains Simulated Photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nFast-JX column photolysis model was used at Lancaster University to simulate column profiles of photolysis rates (JO3 and JNO2) centred on the Institute of Atmospheric Physics (IAP) tower site in Beijing. The photolysis rate profiles are simulated under different aerosol loadings to represent the optical effects of individual species and cloud cover on photochemistry." }, "onlineresource_set": [] }, { "ob_id": 27618, "uuid": "8dd123add54e4b6c9c6a6cce73778ec8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/gauge/data/ship/finlandia_seaways/ceh-picarro/", "numberOfFiles": 4, "volume": 35366401, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27614, "uuid": "b37470e2d12b4763a323a03d0f494f6a", "short_code": "ob", "title": "GAUGE: Methane, carbon dioxide and meteorological observations taken onboard Finlandia Seaways (2015-2017)", "abstract": "This dataset contains methane, carbon dioxide and meteorological observations taken onboard the commercial freight ferry Finlandia Seaways on route between Rosyth (Scotland, UK: 56°1'21.611''N 3°26'21.558'' W) and Zeebrugge (Belgium : 51°21'16.96''N 3°10'34.645''E) 2015-2017 by the Centre for Ecology and hydrology (CEH). The measurements were taken using a Picarro CRDS model G1301, Vaisala WXT510 weather station and Garmin GPS. \r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project (NE/K002449/1NERC) and NERC UK-SCAPE programme delivering National Capability (NE/R016429/1).\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution, and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales." }, "onlineresource_set": [] }, { "ob_id": 27623, "uuid": "d8b67ba47a63427597c51a9a1837a6d5", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/spei_africa/data", "numberOfFiles": 50, "volume": 42492415387, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27622, "uuid": "bbdfd09a04304158b366777eba0d2aeb", "short_code": "ob", "title": "High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Africa", "abstract": "This dataset consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM). \r\n\r\nThe SPEI dataset covers the whole of the African continent for a 36-year-long period (1981–2016) at a horizontal resolution of 5 km (0.05 deg) and a monthly time resolution. The dataset is provided in NetCDF format with in a Geographic Lat/Lon projection. Due to the lower reliability of SPEI over areas with low hydro-climatic variability, the areas with barren or sparsely vegetated areas in Africa were masked out based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface type product (MCD12Q1)." }, "onlineresource_set": [] }, { "ob_id": 27628, "uuid": "93c019c79ca84f3ca897f9810a6f5712", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/MA14_14/MA14_14-2014_309_Sepilok", "numberOfFiles": 645, "volume": 305546221305, "fileFormat": "ENVI Binary", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27627, "uuid": "c708cad9950c45b1af0d4e9ca944f09a", "short_code": "ob", "title": "ARSF 2014_309 - MA14_14 Flight: Airborne remote sensing measurements", "abstract": "Airborne remote sensing measurements collected on 5th November 2014 onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the Biodiversity and Land-use Impacts on Tropical Ecosystem function (BALI) (MA14_14) project (flight reference: 2014_309). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX, full waveform airborne LiDAR collected using a Leica ALS50II, and digital photography data collected using a Leica RCD105.\r\n\r\nData were collected over the Sepilok Forest Reserve, Sabah, Malaysia area." }, "onlineresource_set": [] }, { "ob_id": 27635, "uuid": "5b7a49313cab4fd995dea886ee6648de", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/riometer-analysis/data", "numberOfFiles": 27, "volume": 25599028, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27634, "uuid": "a119b841548c4948b2711f2ddbbe2e27", "short_code": "ob", "title": "Spectral analysis of voltage data taken from the Canadian Riometer Array", "abstract": "This dataset contains voltage data taken from the Canadian Riometer Array (CRA). The provided tables and datasets can be used to determine if the voltage time series of CRA riometers have characteristic spectral features. In addition, datasets are provided which have been collected from the Solar Wind Electron Proton Monitor (SWEPAM) and Magnetic Field Experiment (MAG) instruments aboard the Atmospheric Composition Explorer (ACE)." }, "onlineresource_set": [] }, { "ob_id": 27641, "uuid": "2268b74587694f1a9539b891e387a94e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/land_cover/data/land_cover_maps/v2.0.7", "numberOfFiles": 58, "volume": 72178185736, "fileFormat": "Data are netCDF and geotiff formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27640, "uuid": "b382ebe6679d44b8b0e68ea4ef4b701c", "short_code": "ob", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7", "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a new set of Global Land Cover Maps have been produced. These maps are available at 300m spatial resolution for each year between 1992 and 2015.\r\n\r\nEach pixel value corresponds to the classification of a land cover class defined based on the UN Land Cover Classification System (LCCS). The reliability of the classifications made are documented by the four quality flags (decribed further in the Product User Guide) that accompany these maps. Data are provided in both NetCDF and GeoTiff format.\r\n\r\nFurther Land Cover CCI products, user tools and a product viewer are available at: http://maps.elie.ucl.ac.be/CCI/viewer/index.php . Maps for the 2016-2020 time period have been produced in the context of the Copernicus Climate Change service, and can be downloaded from the Copernicus Climate Data Store (CDS)." }, "onlineresource_set": [] } ] }