Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=10400
{ "count": 10412, "next": null, "previous": "https://catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=10300", "results": [ { "ob_id": 46259, "uuid": "39e5d7b35ddd494e90adf9f5993b03cb", "title": "NCAS Long Term Observations: surface meteorology and particle matter concentration measurements from the maqs-fidas-1 deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "Surface meteorology and particle matter concentration measurements from the maqs-fidas-1 deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\r\n\r\nData products from this deployment include: surface-met, pm-concentration\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.", "creationDate": "2026-09-09T13:49:13.428597", "lastUpdatedDate": "2026-09-09T13:49:13", "latestDataUpdateTime": "2026-09-09T13:49:13", "updateFrequency": "daily", "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NCAS, observation measurements", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5201, "bboxName": "Maqs, Supersite, Firs, Fallowfield", "eastBoundLongitude": -2.214473, "westBoundLongitude": -2.214473, "southBoundLatitude": 53.44421, "northBoundLatitude": 53.44421 }, "verticalExtent": null, "result_field": { "ob_id": 46260, "dataPath": "/badc/ncas-maqs/data/maqs-fidas-1/20231001_longterm/v3.4.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2511799, "numberOfFiles": 3, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 13345, "startTime": "2023-10-01T00:00:00", "endTime": "2026-03-31T23:59:59" }, "resultQuality": { "ob_id": 4568, "explanation": "These data have been produced in accordance to standard NCAS observational practices. This includes instrument calibration and compliance checking of data against the NCAS Data Standards.", "passesTest": true, "resultTitle": "NCAS Standard Data Quality Statement", "date": "2024-06-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 46261, "uuid": "f51b1be798464240bb95fcfe2450d509", "short_code": "acq", "title": "NCAS Long Term Measurements: MAQS: Palas FIDAS 200 E instrument deployed at Manchester Air Quality Supersite (MAQS)", "abstract": "NCAS Long Term Measurements: MAQS: Palas FIDAS 200 E instrument deployed at Manchester Air Quality Supersite (MAQS)." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" }, { "ob_id": 11, "classification": "attribution required" } ] } } ], "projects": [ { "ob_id": 42342, "uuid": "d49ce24b247e4e619dd6da14a1d79375", "short_code": "proj", "title": "NCAS Long Term Measurements", "abstract": "The Natural Environment Research Council's (NERC) National Centre for Atmospheric Science (NCAS) undertake a number of long term measurements by a suite of instruments to support ongoing atmospheric research at a variety of locations. 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These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: co-concentration\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n ", "creationDate": "2026-09-09T13:51:21.090922", "lastUpdatedDate": "2026-09-09T13:51:21.090928", "latestDataUpdateTime": "2026-09-09T13:51:21.090931", "updateFrequency": "daily", "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NCAS, observation measurements", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5201, "bboxName": "Maqs, Supersite, Firs, Fallowfield", "eastBoundLongitude": -2.214473, "westBoundLongitude": -2.214473, "southBoundLatitude": 53.44421, "northBoundLatitude": 53.44421 }, "verticalExtent": null, "result_field": { "ob_id": 46263, "dataPath": "/badc/ncas-maqs/data/maqs-48i-1/20231001_longterm/v3.4.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39250392, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 13347, "startTime": "2023-10-01T00:00:00", "endTime": "2025-10-31T00:00:00" }, "resultQuality": { "ob_id": 4568, "explanation": "These data have been produced in accordance to standard NCAS observational practices. This includes instrument calibration and compliance checking of data against the NCAS Data Standards.", "passesTest": true, "resultTitle": "NCAS Standard Data Quality Statement", "date": "2024-06-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 46264, "uuid": "b5b59e7ecee24de3a00fb6d0271a42c4", "short_code": "acq", "title": "NCAS Long Term Measurements: MAQS: Thermo 48i Carbon Monoxide Analyser Instrument instrument deployed at Manchester Air Quality Supersite (MAQS)", "abstract": "NCAS Long Term Measurements: MAQS: Thermo 48i Carbon Monoxide Analyser Instrument instrument deployed at Manchester Air Quality Supersite (MAQS)." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" }, { "ob_id": 11, "classification": "attribution required" } ] } } ], "projects": [ { "ob_id": 42342, "uuid": "d49ce24b247e4e619dd6da14a1d79375", "short_code": "proj", "title": "NCAS Long Term Measurements", "abstract": "The Natural Environment Research Council's (NERC) National Centre for Atmospheric Science (NCAS) undertake a number of long term measurements by a suite of instruments to support ongoing atmospheric research at a variety of locations. These include a long-term observation mode of instruments from the NCAS Atmospheric Measurement and Observation Facility (AMOF) when not deployed on specific field campaign duties for other projects." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 65929, 74110, 103264 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221025, 221026, 221027, 221028, 221029, 221030, 221031, 221032 ], "onlineresource_set": [] }, { "ob_id": 46265, "uuid": "911e83f32315483c82fc9f201255b4c4", "title": "NCAS Long Term Observations: O3 concentration from the maqs-49i-1-O3 deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "Ozone (O3) concentration measurements from the maqs-49i-1-O3 deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: o3-concentration\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n ", "creationDate": "2026-09-09T13:51:23.397018", "lastUpdatedDate": "2026-09-09T13:51:23.397027", "latestDataUpdateTime": "2026-09-09T13:51:23.397030", "updateFrequency": "daily", "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NCAS, observation measurements", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5201, "bboxName": "Maqs, Supersite, Firs, Fallowfield", "eastBoundLongitude": -2.214473, "westBoundLongitude": -2.214473, "southBoundLatitude": 53.44421, "northBoundLatitude": 53.44421 }, "verticalExtent": null, "result_field": { "ob_id": 46266, "dataPath": "/badc/ncas-maqs/data/maqs-49i-1/20231001_longterm/v3.4.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 43428889, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 13348, "startTime": "2023-10-01T00:00:00", "endTime": "2025-10-31T00:00:00" }, "resultQuality": { "ob_id": 4568, "explanation": "These data have been produced in accordance to standard NCAS observational practices. This includes instrument calibration and compliance checking of data against the NCAS Data Standards.", "passesTest": true, "resultTitle": "NCAS Standard Data Quality Statement", "date": "2024-06-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 46267, "uuid": "bfd45fd8560c43598363107d97b7344c", "short_code": "acq", "title": "NCAS Long Term Measurements: MAQS: Thermo Model 49i Ozone Analyzer instrument deployed at Manchester Air Quality Supersite (MAQS)", "abstract": "NCAS Long Term Measurements: MAQS: Thermo Model 49i Ozone Analyzer instrument deployed at Manchester Air Quality Supersite (MAQS)." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" }, { "ob_id": 11, "classification": "attribution required" } ] } } ], "projects": [ { "ob_id": 42342, "uuid": "d49ce24b247e4e619dd6da14a1d79375", "short_code": "proj", "title": "NCAS Long Term Measurements", "abstract": "The Natural Environment Research Council's (NERC) National Centre for Atmospheric Science (NCAS) undertake a number of long term measurements by a suite of instruments to support ongoing atmospheric research at a variety of locations. These include a long-term observation mode of instruments from the NCAS Atmospheric Measurement and Observation Facility (AMOF) when not deployed on specific field campaign duties for other projects." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 74110, 103258, 103259 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221035, 221036, 221037, 221038, 221039, 221040, 221041, 221042 ], "onlineresource_set": [] }, { "ob_id": 46268, "uuid": "afbe3e15db494a72bde24f71e80f5f8c", "title": "NCAS Long Term Observations: NOx and NOxy concentrations from the maqs-42iy-1-NOy deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "NOx and NOxy concentrations measurements from the maqs-42iy-1-NOy deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: nox-noxy-concentration\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n ", "creationDate": "2026-09-09T13:51:24.852283", "lastUpdatedDate": "2026-09-09T13:51:24.852288", "latestDataUpdateTime": "2026-09-09T13:51:24.852290", "updateFrequency": "daily", "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NCAS, observation measurements", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5201, "bboxName": "Maqs, Supersite, Firs, Fallowfield", "eastBoundLongitude": -2.214473, "westBoundLongitude": -2.214473, "southBoundLatitude": 53.44421, "northBoundLatitude": 53.44421 }, "verticalExtent": null, "result_field": { "ob_id": 46269, "dataPath": "/badc/ncas-maqs/data/maqs-42iy-1/20231001_longterm/v3.4.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 50260164, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 13349, "startTime": "2023-10-01T00:00:00", "endTime": "2025-10-31T00:00:00" }, "resultQuality": { "ob_id": 4568, "explanation": "These data have been produced in accordance to standard NCAS observational practices. This includes instrument calibration and compliance checking of data against the NCAS Data Standards.", "passesTest": true, "resultTitle": "NCAS Standard Data Quality Statement", "date": "2024-06-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 46270, "uuid": "5466e9ca95ef443da3b534ff2e057380", "short_code": "acq", "title": "NCAS Long Term Measurements: MAQS: Thermo Model 42i-Y NOY Analyzer instrument deployed at Manchester Air Quality Supersite (MAQS)", "abstract": "NCAS Long Term Measurements: MAQS: Thermo Model 42i-Y NOY Analyzer instrument deployed at Manchester Air Quality Supersite (MAQS)." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" }, { "ob_id": 11, "classification": "attribution required" } ] } } ], "projects": [ { "ob_id": 42342, "uuid": "d49ce24b247e4e619dd6da14a1d79375", "short_code": "proj", "title": "NCAS Long Term Measurements", "abstract": "The Natural Environment Research Council's (NERC) National Centre for Atmospheric Science (NCAS) undertake a number of long term measurements by a suite of instruments to support ongoing atmospheric research at a variety of locations. These include a long-term observation mode of instruments from the NCAS Atmospheric Measurement and Observation Facility (AMOF) when not deployed on specific field campaign duties for other projects." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 74110, 103261, 103262, 103263 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221049, 221045, 221046, 221047, 221048, 221050, 221051, 221052 ], "onlineresource_set": [] }, { "ob_id": 46271, "uuid": "94c49f9920ad499aa20bab8e5dde6b0c", "title": "Monthly gridded (L3C) atmospheric and surface properties from S-NPP/NOAA-20 derived using the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme, version ?", "abstract": "This dataset provides monthly gridded (Level 3C) data from the Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) retrieval scheme. \r\n\r\nThis scheme retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounts of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Column amounts of the following minor gases are also retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the retrieval scheme has been applied to the infra-red and microwave sounders on the Suomi-NPP and NOAA-20 satellites.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme was funded by NCEO. This version of the data was produced as part of the EOCIS project. \r\nData were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. This version of the data was produced as part of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataReason": "", "keywords": "RAL, IMS, atmospheric and surface properties, METOP-A", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 9178, "startTime": "2018-04-01T00:00:00", "endTime": "2018-12-31T23:59:59" }, "resultQuality": { "ob_id": 3813, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2021-12-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43471, "uuid": "0c2e0c54eab246deb6ffbd43bba6f2b4", "short_code": "cmppr", "title": "The RAL extended IMS retrieval scheme applied to the IASI, AMSU and MHS instruments on METOP-A", "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set contains vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with estimated total columns of other minor gases, cloud optical depth and effective radius, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Data are retrieved from the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS).\r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the scheme has been applied to the IASI, AMSU and MHS instruments on the METOP-A satellite." }, "imageDetails": [ 233 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43216, "uuid": "8bffaba46c4a4b8c82e4be2c91c637b9", "short_code": "proj", "title": "Earth Observation Climate Information Service (EOCIS)", "abstract": "The UK Earth Observation Climate Information Service exploits the observations available from environmental sensors orbiting in space to create climate data records and climate information. EOCIS was announced by the government in November 2022, and formally launched in March 2023. It is funded currently until March 2025. \r\n\r\nEOCIS is a collaboration led by the National Centre for Earth Observation, and involving over a dozen research organisations. EOCIS addresses 12 categories of global and regional essential climate variables, which are the following:\r\n- Sea surface temperature\r\n- Ocean reflectance\r\n- Fire occurrence and emissions\r\n- Aerosol and particulate\r\n- Cloud-aerosol-radiation\r\n- Methane\r\n- Land surface temperature\r\n- Water vapour, ozone\r\n- Arctic: ice sheet mass and sea ice\r\n- Eurasia: surface methane\r\n- Africa: soil water balance\r\n- Antarctic: ice sheet mass and ice velocity\r\n\r\nEOCIS is also creating new climate data at high resolution for the UK specifically. This includes both rapid-response information for climate-linked events (fire early warning and urban flood mapping) and longer term climate data linked to human and ecosystem health and landscape greenhouse gas emissions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221055, 221056, 221057, 221058, 221059, 221060, 221061, 221062, 221063, 221064, 221065, 221066 ], "onlineresource_set": [ 96010 ] }, { "ob_id": 46272, "uuid": "49009cbae601405b8dcc0d9ca34f9d80", "title": "Monthly gridded (L3C) atmospheric and surface properties from ? derived using the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme, version ?", "abstract": "This dataset provides monthly gridded (Level 3C) data from the Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) retrieval scheme. \r\n\r\nThis scheme retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounts of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Column amounts of the following minor gases are also retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the retrieval scheme has been applied to the infra-red and microwave sounders on the Suomi-NPP and NOAA-20 satellites.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme was funded by NCEO. This version of the data was produced as part of the EOCIS project. \r\nData were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. This version of the data was produced as part of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataReason": "", "keywords": "RAL, IMS, atmospheric and surface properties, METOP-A", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 9178, "startTime": "2018-04-01T00:00:00", "endTime": "2018-12-31T23:59:59" }, "resultQuality": { "ob_id": 3813, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2021-12-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43471, "uuid": "0c2e0c54eab246deb6ffbd43bba6f2b4", "short_code": "cmppr", "title": "The RAL extended IMS retrieval scheme applied to the IASI, AMSU and MHS instruments on METOP-A", "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set contains vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with estimated total columns of other minor gases, cloud optical depth and effective radius, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Data are retrieved from the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS).\r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the scheme has been applied to the IASI, AMSU and MHS instruments on the METOP-A satellite." }, "imageDetails": [ 233 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43216, "uuid": "8bffaba46c4a4b8c82e4be2c91c637b9", "short_code": "proj", "title": "Earth Observation Climate Information Service (EOCIS)", "abstract": "The UK Earth Observation Climate Information Service exploits the observations available from environmental sensors orbiting in space to create climate data records and climate information. EOCIS was announced by the government in November 2022, and formally launched in March 2023. It is funded currently until March 2025. \r\n\r\nEOCIS is a collaboration led by the National Centre for Earth Observation, and involving over a dozen research organisations. EOCIS addresses 12 categories of global and regional essential climate variables, which are the following:\r\n- Sea surface temperature\r\n- Ocean reflectance\r\n- Fire occurrence and emissions\r\n- Aerosol and particulate\r\n- Cloud-aerosol-radiation\r\n- Methane\r\n- Land surface temperature\r\n- Water vapour, ozone\r\n- Arctic: ice sheet mass and sea ice\r\n- Eurasia: surface methane\r\n- Africa: soil water balance\r\n- Antarctic: ice sheet mass and ice velocity\r\n\r\nEOCIS is also creating new climate data at high resolution for the UK specifically. This includes both rapid-response information for climate-linked events (fire early warning and urban flood mapping) and longer term climate data linked to human and ecosystem health and landscape greenhouse gas emissions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221067, 221068, 221069, 221070, 221071, 221072, 221073, 221074, 221075, 221076, 221077, 221078 ], "onlineresource_set": [ 96011 ] }, { "ob_id": 46275, "uuid": "d89357be415441589167609a651496e1", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Plant Functional Types (PFT) Dataset, v2.0.82", "abstract": "This dataset provides yearly global Plant Functional Type (PFT) fractional-cover maps for 1992–2025 (34 years), superseding v2.0.81 (1992–2020). It is derived by combining auxiliary high-resolution (~30 m) datasets with the ESA CCI Medium Resolution Land Cover (MRLC) map series of the same years, adding within-class spatial variability by quantifying PFT fractional composition at each 300 m pixel globally, while remaining consistent with the source Land_Cover_cci class legends.\r\n\r\nVersion 2.0.82 introduces the following changes relative to v2.0.81:\r\n\r\n•\tRebalanced shrub and natural-grass fractions. \r\nA comparison between PFT v2.0.81 of Harper et al. (2023) and the PFT derived from the CWT of Poulter et al. (2015) identified a global underestimation of shrub cover and a corresponding overestimation of grassland extent in v2.0.81. Both PFTs were rebalanced across the full time series. The correction is most pronounced in Australia, where shrubland replaces grassland in areas where it better reflects actual land cover.\r\n\r\n•\tExplicit C3/C4 grassland partitioning. \r\nNatural and managed grasslands, previously delivered as single undifferentiated layers, are now each split into C3 and C4 photosynthetic-pathway fractions (percentage of the 300 m pixel), allowing mixed C3/C4 pixel compositions. This is relevant for productivity and carbon-flux applications.\r\n\r\n•\tRefined broadleaved evergreen (BE) tree fraction. \r\nBE trees were previously underestimated outside the pantropical domain, notably in the Mediterranean (e.g., *Quercus ilex*) and other Northern Hemisphere areas; tree type/seasonality assignments were revised accordingly. Applied consistently across the full 1992–2025 series.\r\n\r\n•\tTemporal extension. \r\nCoverage extended by 5 years, from 2020 to 2025, following the extension of the Land Cover map series under the Copernicus Climate Change Service contract.\r\n\r\nThe explicit LAND, WATER_INLAND and WATER_OCEAN layers continue to complement the single WATER layer.\r\n\r\nAs a result, the dataset now comprises 19 layers (up from 14 in v2.0.81), each representing percentage cover (0–100%) of a PFT at 300 m spatial resolution.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2023-01-25T17:29:48", "latestDataUpdateTime": null, "updateFrequency": "annually", "dataLineage": "Data were processed by the ESA CCI Medium Resolution Land Cover project and catalogued here as part of the CCI Open Data Portal Project", "removedDataReason": "", "keywords": "Land Cover, CCI, Global, 300 m, PFT, Plant Functional Types, Vegetation Fractions, C3, C4, Photosynthetic Pathway, Climate Change", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 13350, "startTime": "1992-01-01T00:00:00", "endTime": "2025-12-31T23:59:59" }, "resultQuality": { "ob_id": 3953, "explanation": "For more information on the data quality see the documentation from the ESA Land Cover project", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2022-05-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 46276, "uuid": "f0f59a4371cd4752aad9d318561375c7", "short_code": "comp", "title": "Derivation of the ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Plant Function Types (PFT) Dataset, v2.0.82", "abstract": "The methodology used to derive the v2.0.82 Pland Functional Type (PFT) data is unchanged in principle from v2.0.81. The PFT distributions were derived by combining auxiliary datasets with the ESA MRLC map series; see Harper et al. (2022, ESSD) for the base methodology. \r\n\r\nv2.0.82 refines the shrub/grass balance, adds explicit C3/C4 partitioning, and refines BE tree assignment (see Abstract). It has been reviewed in collaboration with LSCE and is intended to support ORCHIDEE and contribute to CMIP7 vegetation-climate feedback analyses." }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 14431, "uuid": "40e37317e38d4264ae57ecb515b781fa", "short_code": "proj", "title": "ESA Land Cover Climate Change Initiative Project", "abstract": "The ESA Land Cover Climate Change Initiative Project is part of the European Space Agency's Climate Change Initiative to produce long term datasets of Essential Climate Variables (ECV's) from historic satellite data.\r\n\r\nLand cover is defined as the (bio) physical cover at the earth surface including grass, trees, bare ground and water. Land cover is fundamental to better understand the climate through the estimation and validation of fluxes of water, carbon, and energy. It plays a role in adaptation and mitigation assessments at various scales.\r\n\r\nThe projects objective is to critically revisit all algorithms required for the generation of global land product in the light of GCOS requirements, and to design and demonstrate a mature system delivering in a consistent way over years and from multi-mission Earth Observation instruments, the longest possible global land cover map series at 300m, matching the needs of key users belonging to the climate change and land cover communities. The focus is placed on ESA and Member States missions, providing near daily global surface reflectance observation at moderate spatial resolution from 1999 onwards (MERIS Full Resolution (FR) & Reduced Resolution (RR), SPOT VEGETATION, PROBA-V and ASAR data), while the contribution of the AVHRR sensor tackles specific past years back to 1992." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221084, 221085, 221086, 221087, 221088, 221089, 221092, 221091, 221104, 221105, 221096, 221095, 221106, 221094, 221107, 221108, 221103 ], "onlineresource_set": [ 96015, 96016, 96017, 96018 ] }, { "ob_id": 46277, "uuid": "de87f734e87e427cb27c34fe5578c032", "title": "TCOM-O3", "abstract": "The TCOM-O3 Version 2.0 dataset provides a gap-free daily zonal stratospheric profile record of ozone (O3) volume mixing ratios spanning 9,132 daily time steps (2000–2024) across 64 latitude bands (87.86°N to 87.86°S) as part of the NCEO Core Datasets collection. The dataset is distributed in two CF-1.7 compliant NetCDF files containing daily zonal median mixing ratios (zmo3, in mol/mol) alongside level-specific uncertainty estimates (zmo3_uncertainty) derived using quantile regression. Height-level profiles are stored in \"zmo3_tcom_hlev_2000-2024_V2.0.nc\" (~234 MB) across 50 geometric altitude levels (1 to 50 km at 1 km resolution), while pressure-level profiles are stored in zmo3_tcom_plev_2000-2024_V2.0.nc\" (~103 MB) interpolated onto 22 standard pressure levels ranging from 300 to 1 hPa\r\n. Outside the scientifically valid observational retrieval range (5 km to 50 km), uncertainty values are set to NaN to explicitly denote uncorrected TOMCAT CTM model data.", "creationDate": "2026-09-14T12:38:27.369034", "lastUpdatedDate": "2026-09-14T12:42:15.636045", "latestDataUpdateTime": "2026-09-14T12:38:27.369038", "updateFrequency": "notPlanned", "dataLineage": "• Dhomse, S. S. and Chipperfield, M. P.: TCOM-CFC11 and TCOM-CFC12: a gap-free, observationally constrained global dataset of stratospheric CFC-11 and CFC-12 profiles (v2.0), Earth Syst. Sci. Data, 18, 6171–6189, https://doi.org/10.5194/essd-18-6171-2026, 2026.\r\n• Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023.\r\n• Dhomse, S. S., Arosio, C., Feng, W., Rozanov, A., Weber, M., and Chipperfield, M. P.: ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model, Earth Syst. Sci. Data, 13, 5711–5729, https://doi.org/10.5194/essd-13-5711-2021, 2021.", "removedDataReason": "", "keywords": "machine learning,ozone,satellite data,TOMCAT", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5205, "bboxName": "", "eastBoundLongitude": 0.0, "westBoundLongitude": 0.0, "southBoundLatitude": 89.86, "northBoundLatitude": 87.86 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 13354, "startTime": "2000-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 46279, "uuid": "743405a7f0ce46b1870d92b325d84598", "short_code": "comp", "title": "https://catalogue.ceda.ac.uk/uuid/0dae9a32133941daa422df4e1c8598db/", "abstract": "" }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 46278, "uuid": "f7083c0e579f44119a081665c53a9385", "short_code": "proj", "title": "https://catalogue.ceda.ac.uk/uuid/0dae9a32133941daa422df4e1c8598db/", "abstract": "" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221113, 221114, 221115, 221121, 221110, 221111, 221112, 221122, 221123 ], "onlineresource_set": [] }, { "ob_id": 46280, "uuid": "6d8c904239544c9fa848e9dffd14a1a5", "title": "TROPFLUXv2 sst, taux, CMORised to monthly frequency 1940-2025", "abstract": "TROPFLUX version2 of variables sst and taux 1940-2025 in the tropical oceans (30N - 30S). TropFlux provides surface heat and momentum flux data of tropical oceans (30°N-30°S)\r\nThe data provided by National Institute of Oceanography/CSIR (NIO, Goa, India), contact: praveen.b@incois.gov.in. \r\nWhile reference paper describing version 2 is under revision, sst and taux v2 were provided and then CMORised through ESMValTool to monthly frequency, to be used in ENSO recipes by felicity.chun@anu.edu.au (ACCESS-NRI). This data is used in ClimateREF in the ENSO recipes.", "creationDate": "2026-09-17T03:36:37.013152", "lastUpdatedDate": "2026-09-17T03:36:43.827858", "latestDataUpdateTime": "2026-09-17T03:36:37.013158", "updateFrequency": "notPlanned", "dataLineage": "The data provided by National Institute of Oceanography/CSIR (NIO, Goa, India).\r\nTropFlux relies on data provided by the ECMWF Re-Analysis interim (ERA-I) and ISCCP projects.\r\nWhile reference paper describing version 2 is under revision, sst and taux v2 daily were provided and then CMORised through ESMValTool to monthly frequency.", "removedDataReason": "", "keywords": "sea surface temperature,wind stress,tropical ocean", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5206, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -30.0, "northBoundLatitude": 30.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 13356, "startTime": "1940-01-01T00:00:00", "endTime": "2025-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221128, 221129, 221130, 221124, 221125, 221126, 221127, 221131, 221132, 221133 ], "onlineresource_set": [] }, { "ob_id": 46282, "uuid": "c5b861754839410792f56c80389828a1", "title": "jesse paleo", "abstract": "This dataset contains a range of parameters from a 1 km gridded output from runs of version 3.6.1 of the Weather Research and Forecasting (WRF) model deployed on the ARCHER UK National Supercomputing Service. These runs were part of the NERC funded BBUBL project (Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer - also known as City Flocks, NERC grant award NE/N003195/1). The domain of the model runs was over the set over Birmingham conurbation for all of 2015. This geo-temporal domain encompasses measurements of the urban boundary layer obtained from instrumentation attached to birds flown around the area. See related dataset.", "creationDate": "2026-09-17T14:30:36.831525", "lastUpdatedDate": "2026-09-17T14:30:58.973586", "latestDataUpdateTime": "2026-09-17T14:30:36.831528", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "urban meteorology,boundary layer", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5208, "bboxName": "", "eastBoundLongitude": -1.26129, "westBoundLongitude": -2.53084, "southBoundLatitude": 52.1007, "northBoundLatitude": 52.8473 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 13358, "startTime": "0001-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4945, "explanation": "Model output has only been checked for CF convention compliance, otherwise supplied as-is.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2026-09-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221140, 221141, 221142, 221143, 221144, 221145, 221146, 221147 ], "onlineresource_set": [ 96020, 96021, 96022 ] }, { "ob_id": 46283, "uuid": "64d0efd5e64545fc8000a679101d7084", "title": "Cirrus fraction ratio derived from susceptibility of cirrus fraction to aviation change (2019-2020)", "abstract": "This is a global gridded dataset of the cirrus fraction ratio between 2019 (Business as Usual (BAU)) and the 2020 (COVID) period. It is derived from regional (6 regions: Europe, China, Central Asia, North America, North Atlantic and North Pacific) values of cirrus fraction susceptibilities to aviation fuel burn. The aviation data for March and April of 2019 and 2020 is downloaded from ACP Teoh 2024 ADS-B (GAIA) monthly for (2019–2021) https://doi.org/10.5194/acp-24-725-2024. \r\nTo quantify the cirrus fraction, regional susceptibility values were used for the 6 regions (2 oceanic and 4 land regions) covering most regions with frequent contrail occurrence worldwide. For the places outside the 6 regions, we adopt Monte Carlo random sampling of susceptibility (assuming Gaussian distribution) ten thousand times over the land and oceanic regions. Only aviation active places, with flight density greater than 1 km⁻¹ month⁻¹, are analysed, which cover almost 60% of the global surface area.", "creationDate": "2026-09-18T12:13:07.244705", "lastUpdatedDate": "2026-09-18T12:13:07.244707", "latestDataUpdateTime": "2026-09-18T12:13:07.244709", "updateFrequency": "notPlanned", "dataLineage": "Regional susceptibility values were calculated based on the response of the cirrus fraction (machine learning counterfactual) to the change in the aviation fuel burn (kg). To translate the regional cirrus fraction and uncertainty ranges to the global cirrus fraction with uncertainty range, Monte Carlo 10000 ensembles of random sampling of individual susceptibility were used at the 6 regions, and the mean susceptibility of land regions (North America, Europe, Central Asia and China) and ocean regions (North Atlantic and North Pacific) was used for the land and oceanic regions elsewhere. The grid points with traffic density less than 1 km⁻¹ month⁻¹ were neglected from the calculations. The formula used here is Cirrus_2019 = Cirrus_2020 * (aviation_2019 / aviation_2020)^S. The final NetCDF file contains global gridded maps of cirrus fraction ratio (BAU / COVID), cirrus fraction ratio + uncertainty and cirrus fraction ratio - uncertainty products.", "removedDataReason": "", "keywords": "Contrail Cirrus,Susceptibility,Cirrus Fraction Ratio,Aviation Traffic Density", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5209, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 13359, "startTime": "2020-03-01T00:00:00", "endTime": "2020-04-30T00:00:00" }, "resultQuality": { "ob_id": 4946, "explanation": "The regions with aviation traffic density less than 1 km⁻¹ month⁻¹ were neglected from the dataset.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2026-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 46284, "uuid": "1b0456a9b4d6412d91fdee564edb0de1", "short_code": "proj", "title": "Quantifying and Reducing Aviation COntrail raDiativE forcing (QR-CODE)", "abstract": "This project aims to quantify the radiation contribution from aviation's contrail cirrus clouds." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221148, 221149, 221150, 221151, 221152, 221153, 221154, 221155 ], "onlineresource_set": [] }, { "ob_id": 46285, "uuid": "145695fee82242328d2bd0c7472636e6", "title": "ESA Fire Climate Change Initiative (FireCCI): Long-term Small Fire Dataset (SFDL) Burned Area pixel product for Test Sites: Amazonia and Sahel, version 2.0", "abstract": "To be updated", "creationDate": "2024-09-13T13:04:23.192362", "lastUpdatedDate": "2024-09-13T13:03:26", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data was produced by the ESA Fire CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal.", "removedDataReason": "", "keywords": "ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4632, "bboxName": "SFDL10 - Amazonia, Sahel, Siberia", "eastBoundLongitude": 140.625, "westBoundLongitude": -78.75, "southBoundLatitude": -27.059126, "northBoundLatitude": 72.073911 }, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": { "ob_id": 4610, "explanation": "See the associated dataset documentation at https://climate.esa.int/projects/fire/key-documents/", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2024-10-24" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 13255, "uuid": "6c3584d985bd484e8beb23ff0df91292", "short_code": "proj", "title": "ESA Fire Climate Change Initiative Project (Fire CCI)", "abstract": "The European Space Agency (ESA) Fire Climate Change Initiative (Fire CCI) project, led by University of Alcala (Spain), is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThe Fire CCI focuses on the following issues relating to Fire Disturbance: Analysis and specification of scientific requirements relating to climate; Development and improvement of pre-processing and burned area algorithms; Inter-comparison and selection of burned area algorithms; System prototyping and production of burned area datasets; Product validation and product assessment\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 221159, 221160, 221161, 221162, 221163, 221164, 221165, 221166, 221167, 221168, 221169 ], "onlineresource_set": [ 96025, 96026 ] } ] }