Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=9600
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=9700", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=9500", "results": [ { "ob_id": 43455, "uuid": "3c65d2da23f144dd85094662e1873de6", "title": "SSP370 data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "creationDate": "2025-02-04T15:03:50.150801", "lastUpdatedDate": "2025-02-04T15:03:50", "latestDataUpdateTime": "2025-02-04T15:03:50", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-12T09:14:09", "doiPublishedTime": "2026-02-13T12:01:39.613814", "removedDataTime": null, "geographicExtent": { "ob_id": 4684, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44070, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/ssp370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1677113220376, "numberOfFiles": 1856, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12052, "startTime": "2015-01-01T00:00:00", "endTime": "2075-12-31T00:00:00" }, "resultQuality": { "ob_id": 4657, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 27828, 27829, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50542, 50543, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 52744, 52745, 54211, 54215, 54242, 54265, 54300, 54302, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 59480, 59481, 60438, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 79857, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13708 ], "observationcollection_set": [ { "ob_id": 44069, "uuid": "63233813672245a2ba3c6de90c4cfaee", "short_code": "coll", "title": "UKESM1-0-LL output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2075 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 216677, 206874, 206875, 206876, 206878, 206871, 206872, 206873, 206879, 206880, 206881, 206882, 206883, 206884 ], "onlineresource_set": [ 88374, 88375 ] }, { "ob_id": 43458, "uuid": "a46f24ee00d94490b3dae6d6e58fc23e", "title": "GISS-E2-1-G output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP), Tier 2", "abstract": "This record contains data for Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with Asian aerosol reductions, reductions in carbonaceous aerosol over Southern Africa, and reductions in carbonaceous aerosol over South Asia. It also contains a coupled transient simulation where global aerosol, nitrate, and NOx follow SSP1-2.6 while other emissions follow SSP3-7.0. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations.", "creationDate": "2025-02-04T15:19:03.839491", "lastUpdatedDate": "2025-02-04T15:19:15.105804", "latestDataUpdateTime": "2025-02-04T15:19:03.839497", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4686, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12055, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4659, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44057, "uuid": "ffc25e6de67b4e3caa4693a093fd7bab", "short_code": "coll", "title": "GISS-E2-1-G output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2-1-G. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2070 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 206894, 206895, 206896, 206897, 206898, 206899, 206900, 206901, 206902, 206903, 206904 ], "onlineresource_set": [ 88378, 88379, 88380 ] }, { "ob_id": 43467, "uuid": "128cb0c2cf1c43c8a5f0b7ffe58325d0", "title": "Measurements of particle number size distributions, sulfuric acid, and oxygenated organic molecules at five sites", "abstract": "These files contain measurements of the particle number size distribution (PNSD) taken with a suite of instruments explained below, as well as gas phase sulfuric acid (H2SO4), gas phase sulfuric acid (H2SO4 dimer), and oxygenated organic molecules (OOMs) as measured by Nitrate CIMS (Chemical Ionisation Mass Spectrometer).\r\n\r\nThe data were taken at five urban site across Europe. At an urban background site in Manchester, UK (MAN_UB), one at an urban background site and one at a roadside site in Leipzig, Germany (LEJ_UB, LEJ_RS ), one at an urban background site and one at a roadside site in Barcelona, Spain (BCN_UB, BCN_RS).", "creationDate": "2025-02-05T13:45:20.701225", "lastUpdatedDate": "2025-02-05T13:45:32", "latestDataUpdateTime": "2025-02-05T13:45:20", "updateFrequency": "notPlanned", "dataLineage": "All data were collected by James Brean, Alex Rowell, and David C.S. Beddows. The instrument calibrations were performed by James Brean and Alex Rowell. The PNSD data were collected across multiple instruments, data inversion was performed and the data were corrected for line-losses and multiple charges where appropriate. Where multiple columns were used and there were discrepanacies between the magnitudes of the size distribution in the regions with overlap (e.g., long and nanoSMPS), the nanoSMPS was corrected to the longSMPS, and the integrated counts of the resultant PNSD were compared with a CPC if available.\r\n\r\nThe LongSMPS, NanoSMPS, and CPC instruments were intercompared and calibrated at the World Calibration Centre for Aerosol Physics (WCCAP) before deployment in Leipzig, Germany.\r\n\r\nThe CIMS data were mass calibrated, background corrected, and the peak widths were established, and the peak fits were consequently performed in ToFware 3.2.5.", "removedDataReason": "", "keywords": "PNSD,NPF,Aerosol,CIMS,Chemical ionisation,nucleation,growth", "publicationState": "preview", "nonGeographicFlag": true, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 43577, "dataPath": "/badc/deposited2025/Urban_Atmosphere_Particle_Formation/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 941740923, "numberOfFiles": 10, "fileFormat": "csv" }, "timePeriod": { "ob_id": 12058, "startTime": "2021-06-10T00:00:00", "endTime": "2024-08-24T00:00:00" }, "resultQuality": { "ob_id": 4661, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-05" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43469, "uuid": "c2fbd4d65d2f46b785e77ad437a37dbe", "short_code": "acq", "title": "Acquisition for: Particle number size distributions, sulfuric acid, and oxygenated organic molecules at five sites", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "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" } ] } } ], "projects": [ { "ob_id": 43468, "uuid": "fc957c260daf45d2b95e0089792e6ba5", "short_code": "proj", "title": "Molecular Level Understanding of New Particle Formation in the Urban Atmosphere", "abstract": "Airborne particles are made up of tiny specks of solid matter or liquid droplets floating in the air, too small to be seen individually by the naked eye. Gaining a good understanding of these particles is important for a number of reasons including the following: - breathing high concentrations is bad for human health, having been associated with increased hospital admissions and reduced life expectancy. More deaths occur globally due to airborne particle exposure than from malaria and AIDS combined." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 206935, 206936, 206937, 206938, 206939, 206940, 206941, 208060, 206942, 206943, 206944, 206945 ], "onlineresource_set": [] }, { "ob_id": 43472, "uuid": "df1fb368986e4355beeaa83790fa12af", "title": "EOCIS: Monthly gridded (L3C) atmospheric and surface properties from METOP-A 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 Metop-A satellite (IASI, AMSU and MHS).\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": [ 206955, 206956, 206957, 206958, 206959, 206960, 206961, 206962, 206966, 206963, 206964, 206965 ], "onlineresource_set": [ 88387 ] }, { "ob_id": 43475, "uuid": "c0b464b3da9845758cd33591e57c4abf", "title": "EOCIS: Ice Sheet Velocity, V1", "abstract": "This dataset contains Ice Sheet Velocity data produced within the Earth Observation Climate Information Service (EOCIS) project by the Satellite Ice Dynamics Group at the University of Leeds. The Antarctic Ice Sheet Ice Velocity product provides annual means of ice speed (ice velocity magnitude) at 250 m resolution for the Antarctic Ice Sheet from 2015 to 2024. This dataset contains the key variables ice speed (annual mean of ice velocity magnitude for the Antarctic Ice Sheet), and ice speed uncertainty (mean uncertainty corresponding to the ice speed measurement). \r\n\r\nThese data are derived from ESA Sentinel-1 SAR Interferometric Wide (IW) mode data and match the spatial footprint of this source. These data cover the margin of the Antarctic Ice Sheet, including ice shelves, north of approximately 78°S.\r\n\r\nAcronyms and/or abbreviations:\r\nAIS - Antarctic Ice Sheet\r\nEOCIS - Earth Observation Climate Information Service\r\nESA - European Space Agency\r\nGIS - Geographic information system\r\nIV - Ice velocity\r\nSAR - Synthetic aperture radar", "creationDate": "2025-02-07T14:05:30.064253", "lastUpdatedDate": "2025-02-28T10:39:09", "latestDataUpdateTime": "2025-04-18T01:54:15", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced by Satellite Ice Dynamics Group, School of Earth and Environment, University of Leeds in the context of the Earth Observation Climate Information Service project. Processing was performed by GAMMA Remote Sensing.", "removedDataReason": "", "keywords": "Antarctic,Ice,Sheet,Velocity,Shelf,speed,annual,EOCIS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-17T11:46:05", "doiPublishedTime": "2025-04-17T12:22:55", "removedDataTime": null, "geographicExtent": { "ob_id": 4703, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -80.0, "northBoundLatitude": -60.0 }, "verticalExtent": null, "result_field": { "ob_id": 44009, "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_velocity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5578584499, "numberOfFiles": 11, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12136, "startTime": "2015-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4675, "explanation": "For more information on data quality see the associated documentation", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44114, "uuid": "c88f8e79c70f4d68b5232ab0384a81b7", "short_code": "comp", "title": "EOCIS Ice Sheet Velocity, V1", "abstract": "These annual mosaics of ice velocity are generated from Sentinel-1 synthetic aperture radar (SAR) interferometric wide (IW) mode data. Measurements which are input these annual mosaics were generated using the intensity feature tracking method implemented with the GAMMA Remote Sensing software package. Georeferencing was completed within this processing chain using the NSIDC 1km Antarctic DEM (https://doi.org/10.5067/H0FQ1KL9NEKM) and the Reference Elevation Model of Antarctica version 1 (https://doi.org/10.5194/tc-13-665-2019) Annual mosaics are the mean of all available tracking results. For full details of the processing chain, please see: https://doi.org/10.1038/s41467-021-21321-1 and https://doi.org/10.1038/s41467-023-36990-3." }, "procedureCompositeProcess": null, "imageDetails": [ 233 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "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": [ 32072, 62501, 80460, 80461, 80462, 80463 ], "vocabularyKeywords": [], "identifier_set": [ 13316 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 211005, 206988, 206989, 206990, 206991, 206992, 206993, 206994, 209344, 209345, 209346, 209347 ], "onlineresource_set": [ 88688, 88689 ] }, { "ob_id": 43476, "uuid": "ccf69c5ea5184721906eb312d37d0673", "title": "EOCIS: CHUK Aerosol Optical Depth, V1.0", "abstract": "This dataset contains Climate High resolution UK Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites. Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited over daily and monthly timescales. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset.", "creationDate": "2025-02-10T14:53:22.745005", "lastUpdatedDate": "2025-02-10T14:53:22", "latestDataUpdateTime": "2025-02-10T14:53:22", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced by Swansea University in the context of the Earth Observation Climate Information Service project.", "removedDataReason": "", "keywords": "Aerosol,Optical,depth,UK,SLSTR,Sea,Surface,Temperature,Radiometer,High-resolution,EOCIS", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4693, "bboxName": "", "eastBoundLongitude": 4.75, "westBoundLongitude": -15.37, "southBoundLatitude": 47.09, "northBoundLatitude": 61.14 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12069, "startTime": "2016-05-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4665, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43477, "uuid": "b485aa86fd1f42188e80bcf2f64de0a5", "short_code": "acq", "title": "Acquisition for: EOCIS: CHUK Aerosol Optical Depth, V1.0", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "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": [ 206995, 206996, 206997, 206998, 206999, 207000, 207001, 207002 ], "onlineresource_set": [] }, { "ob_id": 43478, "uuid": "87a379d7fdb34838992eec49c0db8f7e", "title": "EOCIS: Level 2 STFC RAL methane retrievals from IASI on board MetOp-B, version 3.0?", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. The data are provided at Level 2 (on the original satellite grid).\r\nIt also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0? of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0? scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. EOCIS?\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data has been produced by the Rutherford Appleton Laboratory (RAL) Remote Sensing Group (RSG) at the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) and supplied to the Centre for Environmental Data Analysis for long term archiving.\r\n\r\nDevelopment of the Version 2.0 Infrared Atmospheric Sounding Interferometer (IASI) offline thermal infrared methane retrieval scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) were funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset (01/2018-03/2021) were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nEOCIS?", "removedDataReason": "", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 9189, "startTime": "2018-01-01T00:00:00", "endTime": "2021-03-31T23:59:59" }, "resultQuality": { "ob_id": 3365, "explanation": "Data are as provided by the data providers. See the user guide for further information", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2019-12-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 33464, "uuid": "c473bb55244b472285bb9d01545757bd", "short_code": "cmppr", "title": "STFC RAL methane retrieval from IASI on METOP B", "abstract": "Retrieval of methane from MetOp-B IASI" }, "imageDetails": [ 130 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 5002, "uuid": "60e718d3f2957f742c89b2b4fc159718", "short_code": "proj", "title": "National Centre for Earth Observation (NCEO)", "abstract": "The National Centre for Earth Observation is a partnership of scientists and institutions, from a range of disciplines, who are using data from Earth observation satellites to monitor global and regional changes in the environment and to improve understanding of the Earth system so that we can predict future environmental conditions.\r\n\r\nNCEO's Vision is to unlock the full potential of Earth observation to monitor, diagnose and predict climate and environmental changes, ensuring that these scientific advances are delivered to the wider community embedded in world class science." }, { "ob_id": 34648, "uuid": "ac4e0e51574a4488a1cad653cea9de5c", "short_code": "proj", "title": "ESA Methane+ project", "abstract": "The ESA Methane+ project aims at exploiting the Short Wave Infrared (SWIR) and Thermal Infrared (TIR) \r\n mthane (CH4) observations from different satellites in order to better differentiate between sources and sinks of CH4 on the regional and global scale. For this it uses the CH4 observations of TROPOMI on Copernicus Sentinel-5p, IASI on MetOp-B, and CrIS on Suomi NPP in combination with atmospheric inversion models.\r\n\r\nESA Contract No. 4000129987/20/I-DT Methane+." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 207008, 207009, 207010, 207011, 207004, 207005, 207006, 207007, 207012, 207013, 207014, 207015, 207016 ], "onlineresource_set": [ 88389, 88388, 88390 ] }, { "ob_id": 43479, "uuid": "a013a904c0024def8871c635c03a638d", "title": "EOCIS: Monthly gridded (L3C) STFC RAL methane retrievals from IASI on board MetOp-B, version 3.0?", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. The data are provided as a monthly average and gridded to Level 3C (gridded on a regular lat/lon grid). It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0? of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0? scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. EOCIS?\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data has been produced by the Rutherford Appleton Laboratory (RAL) Remote Sensing Group (RSG) at the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) and supplied to the Centre for Environmental Data Analysis for long term archiving.\r\n\r\nDevelopment of the Version 2.0 Infrared Atmospheric Sounding Interferometer (IASI) offline thermal infrared methane retrieval scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) were funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset (01/2018-03/2021) were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nEOCIS?", "removedDataReason": "", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 9189, "startTime": "2018-01-01T00:00:00", "endTime": "2021-03-31T23:59:59" }, "resultQuality": { "ob_id": 3365, "explanation": "Data are as provided by the data providers. See the user guide for further information", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2019-12-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 33464, "uuid": "c473bb55244b472285bb9d01545757bd", "short_code": "cmppr", "title": "STFC RAL methane retrieval from IASI on METOP B", "abstract": "Retrieval of methane from MetOp-B IASI" }, "imageDetails": [ 130 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 5002, "uuid": "60e718d3f2957f742c89b2b4fc159718", "short_code": "proj", "title": "National Centre for Earth Observation (NCEO)", "abstract": "The National Centre for Earth Observation is a partnership of scientists and institutions, from a range of disciplines, who are using data from Earth observation satellites to monitor global and regional changes in the environment and to improve understanding of the Earth system so that we can predict future environmental conditions.\r\n\r\nNCEO's Vision is to unlock the full potential of Earth observation to monitor, diagnose and predict climate and environmental changes, ensuring that these scientific advances are delivered to the wider community embedded in world class science." }, { "ob_id": 34648, "uuid": "ac4e0e51574a4488a1cad653cea9de5c", "short_code": "proj", "title": "ESA Methane+ project", "abstract": "The ESA Methane+ project aims at exploiting the Short Wave Infrared (SWIR) and Thermal Infrared (TIR) \r\n mthane (CH4) observations from different satellites in order to better differentiate between sources and sinks of CH4 on the regional and global scale. For this it uses the CH4 observations of TROPOMI on Copernicus Sentinel-5p, IASI on MetOp-B, and CrIS on Suomi NPP in combination with atmospheric inversion models.\r\n\r\nESA Contract No. 4000129987/20/I-DT Methane+." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 207022, 207023, 207024, 207017, 207018, 207019, 207020, 207021, 207025, 207026, 207027, 207028, 207029 ], "onlineresource_set": [ 88392, 88393, 88394 ] }, { "ob_id": 43480, "uuid": "acf7170271a84eceadea60900a553198", "title": "EOCIS: Level 2 ozone and other trace gas profiles from the GOME-2 instrument on Metop-A using the RAL retrieval scheme, version ?", "abstract": "This dataset contains ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, derived from radiances measured by the GOME-2 on-board Metop-A. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. The data are provided at Level 2 (on the satellite measurement grid). Gridded versions of the data are also available as a separate dataset.\r\n\r\nThis version of the data is ?, and has been funded..... (NCEO/CCI/C3S/EOCIS?)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The data has been produced under the EOCIS project. The production of the algorithm was funded by NCEO etc....", "removedDataReason": "", "keywords": "ozone, tropospheric ozone, satellite, observation, global, GOME-2, Metop-A", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 11103, "startTime": "2007-01-29T00:00:00", "endTime": "2019-08-31T23:59:59" }, "resultQuality": { "ob_id": 4666, "explanation": "For information on data quality see the project documentation", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 40104, "uuid": "632c646669874a7da983ad78d4209eff", "short_code": "cmppr", "title": "Ozone from GOME-2 on Metop-A", "abstract": "Composite process for retrieval of ozone from GOME-2 on Metop-A." }, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 207032, 207037, 207033, 207034, 207030, 207031, 207035, 207036, 207038, 207039 ], "onlineresource_set": [] }, { "ob_id": 43481, "uuid": "45e6e5bff6cd420d92081b5f7dd85610", "title": "EOCIS: Monthly gridded (L3C) ozone and other trace gas profiles from the GOME-2 instrument on Metop-A using the RAL retrieval scheme, version ?", "abstract": "This dataset contains ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, derived from radiances measured by the GOME-2 on-board Metop-A. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. The data are monthly gridded on a regular lat/lon grid (L3C). L2 and L3U versions of the data are also available as separate datasets.\r\n\r\nThis version of the data is ?, and has been funded..... (NCEO/CCI/C3S/EOCIS?)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The data has been produced under the EOCIS project. 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Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 13253, 53130, 53131, 66289, 66291, 66292, 66294, 66295, 66351, 66352, 66353, 66354, 66355, 66356 ], "vocabularyKeywords": [], "identifier_set": [ 13269 ], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The Sea Ice CCI is developing improved and validated timeseries of ice concentration for the Arctic and Antarctic and ice thickness datasets for the Arctic to support climate research and monitoring. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic." } ], "responsiblepartyinfo_set": [ 207050, 207051, 207052, 207053, 207054, 207055, 207056, 207057, 208020, 207058, 207059, 207060, 207061, 207062 ], "onlineresource_set": [ 88397, 88398, 88399 ] }, { "ob_id": 43485, "uuid": "c701076b44c14a918f7cdb9641bf2d78", "title": "Benthic images recorded by a Remotely Operated Vehicle video camera during cruise JC241 in the eastern Clarion-Clipperton Zone (Pacific Ocean, 2023)", "abstract": "A collection of video images was obtained using an oblique-looking camera mounted on the UK ISIS Remotely Operated Vehicle (ROV), deployed from the RRS James Cook during cruise JC241 in the abyssal plain (~4700 m depth) of the Clarion-Clipperton Zone, Pacific Ocean, in 2023. The images were obtained in an area that included a site disturbed by a deep-sea mining machine in 1979. The mining machine (9 m wide, 14 m long, 4.5 m high) was operated by the Ocean Minerals Company (OMCO) from the ship Hughes Glomar Explorer on the seafloor between 15 and 18 March 1979 at a site centred 13°44'N 126°13.5'W. The videos show the disturbance caused by the past mining activities. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "creationDate": "2025-02-12T14:04:44.968917", "lastUpdatedDate": "2025-02-12T14:01:46", "latestDataUpdateTime": "2025-02-11T16:48:12", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13240 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 207067, 207064, 207065, 207066, 207068, 207069, 207070, 207071, 207072, 207073, 207074 ], "onlineresource_set": [] }, { "ob_id": 43488, "uuid": "198d56f5fbbf4144b8fd4932328be462", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 11.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2) data, generated using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA.\r\n\r\nThis version of the data (v11) was produced as part of the European Space Agency's (ESA) \r\nClimate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg).\r\nThe FOCAL OCO-2 XCO2 retrieval development, data processing and analysis has received co-funding from ESA’s Climate Change Initiative (CCI+) via project GHG-CCI+ (contract 4000126450/19/I-NB, https://climate.esa.int/en/projects/ghgs) EUMETSAT via the FOCAL-CO2M study (contract EUM/CO/19/4600002372/RL), the European Union via the Horizon 2020 (H2020) projects VERIFY (Grant Agreement No. 776810, http://verify.lsce.ipsl.fr) and CHE (Grant Agreement No. 776186, https://www.che-project.eu) and by the State and the University of Bremen.\r\n\r\nWhen citing this data, please also cite the following peer-reviewed publications:\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-03-01T01:53:14", "updateFrequency": "notPlanned", "dataLineage": "The FOCAL OCO-2 XCO2 retrieval development, data processing and analysis has received co-funding from ESA’s Climate Change Initiative (CCI+) via project GHG-CCI+ (contract 4000126450/19/I-NB, https://climate.esa.int/en/projects/ghgs) EUMETSAT via the FOCAL-CO2M study (contract EUM/CO/19/4600002372/RL), the European Union via the Horizon 2020 (H2020) projects VERIFY (Grant Agreement No. 776810, http://verify.lsce.ipsl.fr) and CHE (Grant Agreement No. 776186, https://www.che-project.eu) and by the State and the University of Bremen.\r\n\r\nData were supplied to CEDA for archiving as part of the ESA CCI Open Data Portal.", "removedDataReason": "", "keywords": "ESA, CCI, satellite, carbon dioxide, CO2", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-02-24T14:52:56", "doiPublishedTime": "2025-02-28T09:21:01.979036", "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": { "ob_id": 43510, "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_OC2_FOCA/v11.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67226763806, "numberOfFiles": 3255, "fileFormat": "netcdf" }, "timePeriod": { "ob_id": 12072, "startTime": "2014-09-06T00:00:00", "endTime": "2024-02-13T23:59:59" }, "resultQuality": { "ob_id": 4155, "explanation": "The dataset has been quality controlled, validated, and uncertainty characterized by the data provider (see related documents).", "passesTest": true, "resultTitle": "CCI GHG", "date": "2023-01-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 33058, "uuid": "4d90fa654eda41b982c9b59de3b0fc4e", "short_code": "cmppr", "title": "Composite process for the ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm", "abstract": "The data has been generated from the OCO-2 satellite using the FOCAL-OCO2 algorithm" }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2564, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 34, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13295, "uuid": "f0c66ffa30514d2daee821286a014b16", "short_code": "proj", "title": "ESA Greenhouse Gases Climate Change Initiative Project", "abstract": "The European Space Agency Greenhouse Gases Climate Change Initiative (GHG CCI) project is one of several projects of ESA's Climate Change Initiative (CCI), which will deliver various Essential Climate Variables (ECVs)\r\n\r\nCarbon dioxide (CO2) and methane (CH4) are the two most important anthropogenic greenhouse gases (GHGs) and a focus of international research activities related to a better understanding of the carbon cycle (see, for example, the Global Carbon Project (GCP)).\r\n \r\nWithin the GHG-CCI project the focus is on satellite data. Satellite observations combined with modelling can add important missing global information on regional CO2 and CH4 (surface) sources and sinks required for better climate prediction. The GHG CCI project started on the 1st September 2010." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50542, 50543, 55529, 55532, 55533, 55534, 55535, 63576, 69629, 74866, 74867, 74868, 74869, 74870, 74871, 74872, 74873, 74874, 74875, 74876, 74877 ], "vocabularyKeywords": [], "identifier_set": [ 13248 ], "observationcollection_set": [ { "ob_id": 12808, "uuid": "0508f3dd991144aa80346007a415fb07", "short_code": "coll", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci) dataset collection", "abstract": "The Greenhouse Gases Climate Change Initiative (GHG_cci) data products are near-surface-sensitive dry-air column-averaged mole fractions (mixing ratios) of methane (CH4) and carbon dioxide (CO2), created as part of the European Space Agency's (ESA) Greenhouses Gases Essential Climate Variable (ECV) CCI project. Denoted XCO2 (in ppmv) and XCH4 (in ppbv), the products have been retrieved from the SCIAMACHY instrument on ENVISAT and TANSO-FTS onboard GOSAT, using ECV Core Algorithms (ECAs). Other satellite instruments such as IASI, MIPAS and ACE-FTS have also been used to provide constraints for upper layers, with their corresponding retrieval algorithms referred to as Additional Constraints Algorithms (ACAs). The GHG data products are typically updated annually, the corresponding datasets being called Climate Research Data Packages (CRDP). \r\n\r\nThe products have each been generated from individual sensors, a single merged product not having yet been created \"combining\" the products from different sensors to cover the entire available satellite time series. One merged product has however been generated using the EMMA algorithm, covering a limited time period. This EMMA product is mainly used as a comparison tool for products generated using individual algorithms, making up the collection of products used by EMMA. \r\n\r\nTypically the same product (e.g. XCO2 from GOSAT) has been generated using different retrieval algorithms. A baseline algorithm has been used to generate one recommended baseline product, for users unsure which product to choose. Other products are called alternative products. However an alternative product's quality may equal that of the corresponding baseline product. It typically depends upon the application for which a product is required, which product is best to use as methods involved in producing them typically have varying strength and weaknesses. \r\n\r\nFor further information on the products, such as details on the SCIAMACHY and TANSO instruments, the algorithms used to generate the data and the data's format, please see the Product Specification Document (PSD) in the documentation section." } ], "responsiblepartyinfo_set": [ 207075, 207076, 207077, 207078, 207079, 207080, 207081, 207082, 207083, 207084, 207085, 207086, 207087, 207088, 207128 ], "onlineresource_set": [ 88401, 88402, 88403, 88404, 88405, 88406, 88407, 88408, 88409 ] }, { "ob_id": 43489, "uuid": "5ec6949356de45c2a3b3565d297a80fa", "title": "The GEBCO_2024 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2024 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic Ocean area, the grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2024-07-04T14:12:43", "latestDataUpdateTime": "2025-02-07T18:29:52", "updateFrequency": "", "dataLineage": "The GEBCO_2024 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. 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Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). The data set is also a regional contribution to the global GEBCO grid that is maintained and made available by BODC (acting as the Global Center for the Nippon Foundation-GEBCO Seabed 2030 Project) on behalf of GEBCO. 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The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. Accompanied by a Type Identifier Grid (TID) that indicates the type of source data that the corresponding grid cell in the bathymetric grid cell is based on.\r\n\r\n\r\nThe IBCAO Product Collection also contains all available datasets in all formats for legacy IBCAO releases, alongside their documentation and terms of use:\r\n\r\n• Version 4.2.13 - released July 2023 \r\n• Version 4.2 - released August 2022 \r\n• Version 4.1 - released July 2021 \r\n• Version 4.0 - released March 2020 \r\n• Version 3.0 - released June 2012 \r\n• Version 2.23 - released March 2008 \r\n• Version 1 - released July 2001" } ], "responsiblepartyinfo_set": [ 207372, 207373, 207375, 207376, 207377, 207378, 207379, 207410, 207659, 207411, 207412, 207413, 207414, 207415, 207416, 207417, 207418, 207419, 207420, 207421, 207422, 207423, 207424, 207425, 207426, 207427, 207428, 207429, 207430, 207431, 207432, 207433, 207434, 207435, 207436, 207437, 207438, 207439, 207440, 207441, 207442, 207443, 207444, 207445, 207446, 207447, 207448, 207449, 207450, 207451, 207452, 207453, 207454, 207455, 207456, 207457, 207458, 207459, 207460, 207461 ], "onlineresource_set": [] }, { "ob_id": 43503, "uuid": "cf65717536994466976cf260ae8f7fe2", "title": "Highlight seabed images taken by ROV in the Ocean Minerals Company (OMCO) during expedition JC241 in the Clarion-Clipperton Zone (Pacific Ocean, 2023)", "abstract": "A collection of benthic still images was obtained using an oblique-looking camera mounted on the UK ISIS Remotely Operated Vehicle (ROV), deployed from the RRS James Cook during cruise JC241 in the abyssal plain (~4700 m depth) of the Clarion-Clipperton Zone, Pacific Ocean, in 2023. The images were obtained in an area that included a site disturbed by a deep-sea mining machine in 1979. The mining machine (9 m wide, 14 m long, 4.5 m high) was operated by the Ocean Minerals Company (OMCO) from the ship Hughes Glomar Explorer on the seafloor between 15 and 18 March 1979 at a site centred 13°44'N 126°13.5'W. The images show the seabed covered by polymetallic nodules and the disturbance caused by the past mining activities. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "creationDate": "2025-02-18T11:43:51.068777", "lastUpdatedDate": "2025-02-18T11:43:19", "latestDataUpdateTime": "2025-02-17T17:42:15", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-02-17T17:46:04", "doiPublishedTime": "2025-02-17T17:46:04", "removedDataTime": null, "geographicExtent": { "ob_id": 4697, "bboxName": "", "eastBoundLongitude": -126.19, "westBoundLongitude": -127.1, "southBoundLatitude": 13.68, "northBoundLatitude": 13.76 }, "verticalExtent": null, "result_field": { "ob_id": 43502, "dataPath": "/bodc/deposits01/soc250724", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1576736905, "numberOfFiles": 337, "fileFormat": ".jpg" }, "timePeriod": { "ob_id": 12090, "startTime": "2023-02-09T00:00:00", "endTime": "2023-03-09T23:59:59" }, "resultQuality": { "ob_id": 3912, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). 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The GEBCO_2024 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2024 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2024 grid (standard grid of ice surface elevation) available in NetCDF format. In regions largely outside of the Arctic Ocean area, the GEBCO_2024 grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2024-07-04T14:12:43", "latestDataUpdateTime": "2025-02-07T19:05:40", "updateFrequency": "", "dataLineage": "The GEBCO_2024 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make a subset of the GEBCO_2024 Grid Collection (GEBCO_2024 Standard Grid compilation of ice surface elevation, in NetCDF format) available for publication through the BODC Published Data Library and the GEBCO Project website. 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The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. 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Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2023 Grid represents all data within the 2023 compilation. The compilation of the GEBCO_2023 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a 'remove-restore' blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. 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Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2023-04-18T15:35:05", "latestDataUpdateTime": "2025-02-20T01:49:41", "updateFrequency": "", "dataLineage": "The GEBCO_2023 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. 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The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. 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Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format." } ], "responsiblepartyinfo_set": [ 207603, 207596, 207597, 207598, 207599, 207600, 207601, 207602, 207664, 207604, 207605, 207606, 207607, 207608, 207609, 207610, 207611, 207612, 207613, 207614, 207615, 207616, 207617, 207618, 207619, 207620, 207621, 207622, 207623, 207624, 207625 ], "onlineresource_set": [] }, { "ob_id": 43509, "uuid": "cefbb8b5fc874bfc84f75169a611de4f", "title": "The GEBCO_2019 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2019 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), the Source Identifier Grid (SID), and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2019 Grid Collection is available in NetCDF format only. This data collection also contains the published and citable GEBCO_2019 grid (standard grid of ice surface elevation) available in NetCDF format. \r\n\r\nThe grid uses as a base Version 1 of the SRTM15_plus data set (Sandwell et al). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30_plus (5). Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project, and from a number of international and national data repositories and regional mapping initiatives. The GEBCO_2019 Grid represents all data within the 2019 compilation. The compilation of the GEBCO_2019 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. The majority of the compilation was done using the remove-restore procedure (Smith and Sandwell, 1997; Becker, Sandwell and Smith, 2009 and Hell and Jakobsson, 2011). This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA).", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2019-03-28T11:40:01", "latestDataUpdateTime": "2025-02-07T14:07:47", "updateFrequency": "", "dataLineage": "The GEBCO_2019 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make a subset of the GEBCO_2019 Grid Collection (GEBCO_2019 Standard Grid compilation of ice surface elevation, in NetCDF format) available for publication through the BODC Published Data Library and the GEBCO Project website. In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2019-03-28T11:40:01", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43534, "dataPath": "/bodc/gebco/global/gebco_2019", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19487610783, "numberOfFiles": 15, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12087, "startTime": "2019-01-01T00:00:00", "endTime": "2019-01-01T23:59:59" }, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": { "ob_id": 12086, "startTime": "2019-01-01T00:00:00", "endTime": "2019-01-01T23:59:59" }, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 231 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 74851, 74852, 74863 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43520, "uuid": "b28510bfa05b4ce388d2315c10f5823d", "short_code": "coll", "title": "The GEBCO Product Collection (General Bathymetric Chart of the Oceans) - a continuous terrain model of the global oceans and land - all releases, formats, and documentation", "abstract": "The General Bathymetric Chart of the Oceans (GEBCO) is a continuous terrain model of the global oceans and land. The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2022 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2023 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format." } ], "responsiblepartyinfo_set": [ 207628, 207629, 207630, 207631, 207632, 207633, 207626, 207627, 207665, 207634, 207635, 207636, 207637, 207638, 207639, 207640, 207641, 207642, 207643, 207644, 207645, 207646, 207647, 207648, 207649, 207650, 207651, 207652 ], "onlineresource_set": [] }, { "ob_id": 43513, "uuid": "8e50690c2ac84e249cbc2cba2e95f5e5", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 1 Grid was released in July 2001.\r\n\r\nThe bathymetric grid released in IBCAO Version 1 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute intervals), or in a polar stereographic projection (2500 x 2500 m grid interval, true scale 75°N, WGS 84 datum). Postscript plots in polar stereographic projection are also available in IBCAO Version 1, showing shaded relief and contours. Shaded relief imagery is also provided in JPEG format. A Source Identifier Grid is delivered as a Postscript plot for IBCAO Version 1, to provide information on the source data sets included in the IBCAO grid.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2001-07-01T00:00:00", "latestDataUpdateTime": "2025-02-10T09:23:02", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents the 1st version of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2001-07-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43541, "dataPath": "/bodc/gebco/ibcao/ibcao_v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1309572300, "numberOfFiles": 41, "fileFormat": "NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": { "ob_id": 12093, "startTime": "2008-03-01T00:00:00", "endTime": "2012-06-01T00:00:00" }, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 231 ], "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" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 74854, 74855, 74856, 74860, 74861, 74862 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43521, "uuid": "fdd9595c2e7a4d26831ea4fe345f7900", "short_code": "coll", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Product Collection - gridded continuous terrain model covering ocean and land of the Arctic region - all releases, formats, and documentation", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. Accompanied by a Type Identifier Grid (TID) that indicates the type of source data that the corresponding grid cell in the bathymetric grid cell is based on.\r\n\r\n\r\nThe IBCAO Product Collection also contains all available datasets in all formats for legacy IBCAO releases, alongside their documentation and terms of use:\r\n\r\n• Version 4.2.13 - released July 2023 \r\n• Version 4.2 - released August 2022 \r\n• Version 4.1 - released July 2021 \r\n• Version 4.0 - released March 2020 \r\n• Version 3.0 - released June 2012 \r\n• Version 2.23 - released March 2008 \r\n• Version 1 - released July 2001" } ], "responsiblepartyinfo_set": [ 207737, 207738, 207739, 207740, 207741, 207742, 207736, 207796 ], "onlineresource_set": [] }, { "ob_id": 43514, "uuid": "1e69e123a0c04e2a83539dec43f1bfdb", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 2.23 Grid was released in March 2008.\r\n\r\nThe bathymetric grid released in IBCAO Version 2.23 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute or two arc-minute intervals), or in a polar stereographic projection (2000 x 2000 m grid interval, true scale 75°N, WGS 84 datum). The one-minute geographic grid imagery is also available in KMZ format for Google Earth. A Source Identifier Grid is delivered as a JPEG image for IBCAO version 2.23, to provide information on the source data sets included in the IBCAO grid.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2008-03-01T00:00:00", "latestDataUpdateTime": "2025-02-10T09:23:57", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 2.23 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-03-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43542, "dataPath": "/bodc/gebco/ibcao/ibcao_v2_23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 825460525, "numberOfFiles": 20, "fileFormat": "NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": { "ob_id": 12094, "startTime": "2008-03-01T00:00:00", "endTime": "2012-06-01T00:00:00" }, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 231 ], "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" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 74854, 74855, 74856, 74857, 74858, 74859 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43521, "uuid": "fdd9595c2e7a4d26831ea4fe345f7900", "short_code": "coll", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Product Collection - gridded continuous terrain model covering ocean and land of the Arctic region - all releases, formats, and documentation", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. Accompanied by a Type Identifier Grid (TID) that indicates the type of source data that the corresponding grid cell in the bathymetric grid cell is based on.\r\n\r\n\r\nThe IBCAO Product Collection also contains all available datasets in all formats for legacy IBCAO releases, alongside their documentation and terms of use:\r\n\r\n• Version 4.2.13 - released July 2023 \r\n• Version 4.2 - released August 2022 \r\n• Version 4.1 - released July 2021 \r\n• Version 4.0 - released March 2020 \r\n• Version 3.0 - released June 2012 \r\n• Version 2.23 - released March 2008 \r\n• Version 1 - released July 2001" } ], "responsiblepartyinfo_set": [ 207805, 207797, 207798, 207799, 207800, 207801, 207802, 207803 ], "onlineresource_set": [] }, { "ob_id": 43515, "uuid": "ca9e188d6141435eb7d851d40416a645", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 3.0 Grid was released in June 2012.\r\n\r\nAt the time of its publication, IBCAO Version 3.0 represented the largest improvement in the data set since 1999. Taking advantage of new data sets collected by the circum-Arctic nations, opportunistic data collected from fishing vessels, data acquired from US Navy submarines and from research ships of various nations.\r\n\r\nBuilt using an improved gridding algorithm, the grid is on a 500 meter spacing, revealing much greater details of the Arctic seafloor than IBCAO Version 1.0 (2.5 km) and Version 2.0 (2.0 km). The area covered by multibeam surveys has increased from ~6 % in Version 2.0 to ~11% in Version 3.0.\r\n\r\nThe bathymetric grid released in IBCAO Version 3.0 is available in NetCDF, Esri ASCII or data GeoTIFF raster format. The IBCAO V3 data are built using the WGS84 horizontal datum, where the vertical datum is referenced to Mean Sea Level. Elevation values are provided in metres (negative below the sea surface). The IBCAO V3 dataset comprises polar stereographic grids at 500 x 500m grid intervals, true scale 75°N, in both smoothed (SM) and remove-restore (RR) method formats. The IBCAO V3 dataset also comprises geographic grids at 30 arc-second resolution in both smoothed (SM) and remove-restore (RR) method formats.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2012-06-01T00:00:00", "latestDataUpdateTime": "2025-02-10T09:27:44", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 3 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-06-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43543, "dataPath": "/bodc/gebco/ibcao/ibcao_v3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10612304945, "numberOfFiles": 32, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). 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The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. 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The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2021-07-01T00:00:00", "latestDataUpdateTime": "2025-02-10T09:40:50", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. 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The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2 Grid was released in August 2022, updated from IBCAO Version 4.1 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2022-08-01T00:00:00", "latestDataUpdateTime": "2025-02-10T10:10:26", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 4.2 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). 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The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2.13 Grid was released in August 2022, updated from IBCAO Version 4.2 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2.13 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2.13 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2.13 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2023-07-01T00:00:00", "latestDataUpdateTime": "2025-02-10T09:54:04", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 4.2.13 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. 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The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. 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The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 5 Grid was released in 2024, updated from IBCAO Version 4.2.13 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 5 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5 grid without Greenland ice sheet data is also available. IBCAO Version 5 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2024-07-01T00:00:00", "latestDataUpdateTime": "2025-02-10T10:56:47", "updateFrequency": "", "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 5 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2024-07-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43547, "dataPath": "/bodc/gebco/ibcao/ibcao_v5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 169755069833, "numberOfFiles": 69, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). 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The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. Accompanied by a Type Identifier Grid (TID) that indicates the type of source data that the corresponding grid cell in the bathymetric grid cell is based on.\r\n\r\n\r\nThe IBCAO Product Collection also contains all available datasets in all formats for legacy IBCAO releases, alongside their documentation and terms of use:\r\n\r\n• Version 4.2.13 - released July 2023 \r\n• Version 4.2 - released August 2022 \r\n• Version 4.1 - released July 2021 \r\n• Version 4.0 - released March 2020 \r\n• Version 3.0 - released June 2012 \r\n• Version 2.23 - released March 2008 \r\n• Version 1 - released July 2001" } ], "responsiblepartyinfo_set": [ 207850, 207843, 207844, 207845, 207846, 207847, 207848, 207849 ], "onlineresource_set": [] }, { "ob_id": 43535, "uuid": "0c9dfec287bf4b6c84435d1182825389", "title": "The GEBCO_2014 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2014 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 30 arc-seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), and the Source Identifier Grid (SID). The GEBCO_2014 Grid Collection is available in NetCDF format only. Please note the GEBCO 2014 grid is a legacy dataset that has been superseded by more recent releases.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2014-07-01T00:00:00", "latestDataUpdateTime": "2025-02-07T14:00:12", "updateFrequency": "", "dataLineage": "The GEBCO_2014 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43538, "dataPath": "/bodc/gebco/global/gebco_2014", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4948804328, "numberOfFiles": 9, "fileFormat": "NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": { "ob_id": 12101, "startTime": "2014-07-01T00:00:00", "endTime": "2019-03-01T00:00:00" }, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 231 ], "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" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 74851, 74852 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43520, "uuid": "b28510bfa05b4ce388d2315c10f5823d", "short_code": "coll", "title": "The GEBCO Product Collection (General Bathymetric Chart of the Oceans) - a continuous terrain model of the global oceans and land - all releases, formats, and documentation", "abstract": "The General Bathymetric Chart of the Oceans (GEBCO) is a continuous terrain model of the global oceans and land. The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2022 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2023 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format." } ], "responsiblepartyinfo_set": [ 207886, 207887, 207888, 207889, 207890, 207891, 207892, 207922 ], "onlineresource_set": [] }, { "ob_id": 43536, "uuid": "e7b366a8516240b7a023edb25fdaf1bf", "title": "The GEBCO_2008 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2008 Grid is a global continuous terrain model for ocean and land with a spatial resolution of one arc-minute. The GEBCO_2008 Grid, comprises the one minute grid in NetCDF format only, alongside accompanying terms of use and documentation. Please note that the GEBCO 2008 One Minute Grid is a legacy dataset that has been superseded by subsequent releases of the GEBCO grid.", "creationDate": "2025-02-12T14:37:06.815702", "lastUpdatedDate": "2008-07-01T00:00:00", "latestDataUpdateTime": "2025-02-07T19:06:44", "updateFrequency": "", "dataLineage": "The GEBCO_2008 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-07-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4696, "bboxName": "World", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43537, "dataPath": "/bodc/gebco/global/gebco_one_minute_2008", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 756309650, "numberOfFiles": 6, "fileFormat": "NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 3897, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2022-03-23" }, "validTimePeriod": { "ob_id": 12102, "startTime": "2008-07-01T00:00:00", "endTime": "2014-07-01T00:00:00" }, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 231 ], "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" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 74850 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43520, "uuid": "b28510bfa05b4ce388d2315c10f5823d", "short_code": "coll", "title": "The GEBCO Product Collection (General Bathymetric Chart of the Oceans) - a continuous terrain model of the global oceans and land - all releases, formats, and documentation", "abstract": "The General Bathymetric Chart of the Oceans (GEBCO) is a continuous terrain model of the global oceans and land. The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2022 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2023 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format." } ], "responsiblepartyinfo_set": [ 207920, 207921, 207914, 207915, 207916, 207917, 207918, 207919 ], "onlineresource_set": [] }, { "ob_id": 43540, "uuid": "2b8c6a8f1abd40a6b0ce07c40b1c57ff", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.8, November 2017 - June 2024", "abstract": "This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD. This version of the product is version 1.8, and covers the period from November 2017 - June 2024. \r\n\r\nThe WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side.\r\n\r\nThese data were produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.\r\n\r\nWhen citing this dataset, please also cite the following peer-reviewed publication: \r\nSchneising, O., Buchwitz, M., Hachmeister, J., Vanselow, S., Reuter, M., Buschmann, M., Bovensmann, H., and Burrows, J. P.: Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm, Atmos. Meas. Tech., 16, 669–694, https://doi.org/10.5194/amt-16-669-2023, 2023.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2024-02-06T17:32:14", "latestDataUpdateTime": "2025-02-24T12:20:44", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA Climate Change Initiative (CCI) Greenhouse Gas project team and supplied to CEDA as part of the ESA CCI Open Data Portal.", "removedDataReason": "", "keywords": "ESA, CCI, satellite, Sentinel-5 Precursor, TROPOMI, atmosphere, methane, carbon monoxide", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-03-12T10:08:02", "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": { "ob_id": 43549, "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_S5P_WFMD/v1.8_extended_june2024", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 142178270863, "numberOfFiles": 2379, "fileFormat": "netcdf" }, "timePeriod": { "ob_id": 12103, "startTime": "2017-10-31T00:00:00", "endTime": "2024-06-30T23:59:59" }, "resultQuality": { "ob_id": 3389, "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": "2020-02-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 41447, "uuid": "a58731401860459bae57fb1cc4b183d4", "short_code": "cmppr", "title": "Composite process for the ESA Greenhouse Gases Climate Change Initiative CH4_S5P_WFMD v1.8 product", "abstract": "The ESA Greenhouse Gases Climate Change Initiative CH4_S5P_WFMD v1.8 product has been derived from the TROPOMI instrument on the Sentinel-5P satellite, using the WFM-DOAS retrieval algorithm." }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2564, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 34, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13295, "uuid": "f0c66ffa30514d2daee821286a014b16", "short_code": "proj", "title": "ESA Greenhouse Gases Climate Change Initiative Project", "abstract": "The European Space Agency Greenhouse Gases Climate Change Initiative (GHG CCI) project is one of several projects of ESA's Climate Change Initiative (CCI), which will deliver various Essential Climate Variables (ECVs)\r\n\r\nCarbon dioxide (CO2) and methane (CH4) are the two most important anthropogenic greenhouse gases (GHGs) and a focus of international research activities related to a better understanding of the carbon cycle (see, for example, the Global Carbon Project (GCP)).\r\n \r\nWithin the GHG-CCI project the focus is on satellite data. Satellite observations combined with modelling can add important missing global information on regional CO2 and CH4 (surface) sources and sinks required for better climate prediction. The GHG CCI project started on the 1st September 2010." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54763, 54764, 55532, 55533, 63576, 66578, 66973, 66974, 68636, 68637, 69622, 69623, 69628, 69634, 69635, 74642, 74643, 74644, 74645, 74646, 74647, 74648, 74649, 74650, 74651, 74652, 74653, 74654, 74655, 74656, 74657, 74658, 74659, 74660 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 207938, 207939, 207940, 207941, 207942, 207943, 207936, 207937, 207944, 207945, 207946, 207947, 207948 ], "onlineresource_set": [ 88425, 88426, 88419, 88420, 88421, 88422, 88423, 88424 ] }, { "ob_id": 43551, "uuid": "defed477a24547b7aa024d655f3d2adb", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 25, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea and the Indian Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2023 and 10 February 2023.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "creationDate": "2025-02-25T10:58:49.182487", "lastUpdatedDate": "2025-02-26T12:34:14", "latestDataUpdateTime": "2025-02-25T10:58:49", "updateFrequency": "notPlanned", "dataLineage": "Measurements taken on the QM2 and processed with SISTeR processor version 2.5.1 to levels 2R and 3R as specified by the GHRSST recommended format.\r\n\r\nShip time and services were provided by Cunard Line.", "removedDataReason": "", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-26T17:07:46", "doiPublishedTime": "2026-02-19T09:06:59.453479", "removedDataTime": null, "geographicExtent": { "ob_id": 4969, "bboxName": "", "eastBoundLongitude": 90.0, "westBoundLongitude": -10.0, "southBoundLatitude": 5.0, "northBoundLatitude": 52.0 }, "verticalExtent": null, "result_field": { "ob_id": 44499, "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise25/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 235079679, "numberOfFiles": 64, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12127, "startTime": "2023-01-11T00:00:00", "endTime": "2023-02-10T00:00:00" }, "resultQuality": { "ob_id": 4668, "explanation": "Data files from this cruise have been assigned level 2: occasional problems with the data. 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The instrument has been deployed on MS Color Festival (2006), MS Prinsesse Ragnhild (2008), and RMS Queen Mary 2 (2010-present)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 52652, 52654, 52655, 52656, 80293, 80294, 80295, 80296, 80297, 80298, 80299, 80300, 80301, 80302 ], "vocabularyKeywords": [], "identifier_set": [ 13732 ], "observationcollection_set": [ { "ob_id": 44842, "uuid": "39d5fef09ffb43429c7366afc941069c", "short_code": "coll", "title": "SISTeR: Collection of RMS Queen Mary 2 (QM2) Cruise datasets, v2.5", "abstract": "This collection is the record of data from the SISTeR (Scanning Infrared Sea surface Temperature Radiometer) instrument taken on RMS Queen Mary 2 since 2010, processed with version 2.5 of the processor to level 2R and level 3R. These have included World Cruises, North Atlantic crossings, and side trips, in particular to the Caribbean, Canada, Northern Europe and the Mediterranean." } ], "responsiblepartyinfo_set": [ 207959, 207960, 207961, 207962, 207963, 207964, 207958, 216464, 207965 ], "onlineresource_set": [ 93793 ] }, { "ob_id": 43553, "uuid": "eaaa914f8013453baaffe41dfe0752e6", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): monthly C-band product, BoB, v1.0", "abstract": "To be written", "creationDate": "2024-11-20T14:49:02.658741", "lastUpdatedDate": "2024-11-20T14:47:00", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", 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The output of 120 ensemble members varying climate and ice sheet model parameters for each of the LGM and PGM are included as well as the results of sensitivity tests varying the spatial resolution and till water drainage rate. These simulations were created using the atmospheric general circulation model FAMOUS coupled to the BISICLES ice sheet model under LGM and PGM climate boundary conditions, including greenhouse gas concentrations and orbital parameters outlined in the PMIP4 (Paleoclimate Modelling Intercomparison Project - Phase 4) protocols (Kageyama et al., 2017 and Menviel et al., 2019).", "creationDate": "2025-02-27T16:48:31.435759", "lastUpdatedDate": "2025-02-27T16:50:29", "latestDataUpdateTime": "2025-03-25T01:54:42", "updateFrequency": "notPlanned", "dataLineage": "Data were generated using the FAMOUS atmosphere model coupled to the BISICLES ice sheet model. The BISICLES model outputs data every year over the 5000 ice sheet year simulations in hdf5 files. Data were selected every 10th year and converted to netCDF format then concatenated into a timeseries file. FAMOUS output a data field every month over the 500 climate year simulations which were converted to netCDF format and concatenated into timeseries data. 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The project aim is to constrain future projections of ice sheet instabilities using information from the geological past through the development of novel Bayesian uncertainty quantification tools and their application to modelling past, present and future ice sheet changes using complex coupled climate-ice sheet modelling. This collection of data contains inputs and output from coupled climate-ice sheet simulations of the Quaternary run with the FAMOUS-ice model in which Northern Hemisphere ice sheets are interactively simulated with either the low complexity Glimmer ice sheet model or the more complex BISICLES marine ice sheet model." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1319, 1320, 1322, 1323, 1324, 3064, 3143, 3574, 3576, 3695, 3697, 12066, 24189, 30597, 30598, 61147, 74189, 74190, 74191, 74192, 74194, 74196, 74197, 74198, 74201, 74202, 74203, 74204, 74205, 74206, 74207, 74208, 74209, 74211, 74217, 74532, 74796, 74797, 74798, 74799, 74800, 74801, 74802, 74803, 74804, 74805, 74806, 74807, 74808, 74809, 74810, 74811, 74812, 74813, 74814, 74815, 74816, 74817, 74818, 74819, 74820, 74821, 74822, 74823, 74824, 74825, 74826, 74827, 74828, 74829, 74830, 74831, 74832, 74833, 74834, 74835, 74836, 74837, 74838, 74839, 74840, 74841, 74842, 74843, 74844, 74845, 74846, 74847, 74848, 80061, 80062, 80063 ], "vocabularyKeywords": [], "identifier_set": [ 13268 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 208026, 208027, 208028, 208029, 208030, 208031, 208033, 208937, 208034, 208035, 208036, 208037, 208038, 208039, 208040 ], "onlineresource_set": [ 88542, 88543, 88544 ] }, { "ob_id": 43574, "uuid": "358b4a19d1c44f6f8948edea4cae7f9b", "title": "Northwest European Seasonal Weather Prediction from Complex Systems Modelling for Summer and Winter from 1940 to 2023 (NERC grant NE/V001787/1)", "abstract": "This dataset provides Northwest European seasonal weather predictions from complex systems modelling for Summer and Winter from 1940 to 2023. \r\n\r\nTime series of standardised anomalies with respect to the normalisation period 1981-2010 were obtained for each dataset, covering sea ice cover, sea surface temperatures, tropical precipitation, sea level pressure, the stratospheric polar vortex, snow cover, sunspot activity, volcanic activity and carbon dioxide concentrations. In addition, using 500 hPa geopotential height data from the ERA5 reanalysis, time series of jet speed and latitude were derived and the top three principal empirical orthogonal functions of atmospheric circulation variability for the North Atlantic and European sector.\r\n\r\nThe datasets are sets of standardised values and anomalies for different predictors of atmospheric circulation variability, which can be fed into NARMAX machine learning models to generate forecasts of the three leading empirical orthogonal functions of atmospheric circulation variability - roughly corresponding to the North Atlantic Oscillation (NAO), East Atlantic Pattern (EA) and Scandinavian Pattern (SCA). In the SF-NARMAX project these values were used to generate NARMAX forecasts for June, for July/August, and for meteorological winter (December/January/February), which were then compared with actual outcomes, to help assess the reliability of the NARMAX models.\r\n\r\nThe datasets used for generating the predictor datasets for both winter and summer can be found alongside supporting documentation. 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Dynamical seasonal forecasting systems have led to some recent advances in forecasting skill, particularly in winter. However, there is considerable scope for applying machine-learning techniques to the problem. Using a novel Non-linear AutoRegressive Moving Average with eXogenous inputs (NARMAX) systems identification (an interpretable form of machine learning) approach, that identifies and models linear and non-linear dynamic relationships between a range of variables, this project seeks to extend skilful seasonal forecasting to seasons beyond winter, identify factors that contribute skill to the forecast, develop regional seasonal forecasts for Northwest Europe and assess the benefits of skilful probabilistic seasonal forecasts to potential users such as the agri-food industry.\r\n\r\nThese datasets relate to NERC grant: NE/V001787/1." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 208041, 208042, 208043, 208044, 208045, 208046, 209677, 209678, 209679, 209680 ], "onlineresource_set": [] }, { "ob_id": 43576, "uuid": "181a2ed27289411a9b5966d25d1b3449", "title": "Research data of battery electric vehicle ", "abstract": "This resource covers different types of battery electric vehicles. The data includes material shares, material requirements, and environmental and economic impacts of selected battery electric vehicles, with data collected from 2022 to 2024. Results of the calculations are based on each life cycle stage. This data was collected for the purpose of conducting generalisation studies.", "creationDate": "2025-02-28T13:48:05.203262", "lastUpdatedDate": "2025-02-28T13:57:35.563273", "latestDataUpdateTime": "2025-02-28T13:48:05.203286", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": true, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12139, "startTime": "2022-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4676, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 208047, 208048, 208049, 208050, 208051, 208052, 208053, 208054, 208055, 208056, 208057, 208058, 208059 ], "onlineresource_set": [] }, { "ob_id": 43579, "uuid": "e7e4499f7f32493db96635026b95ded8", "title": "EOCIS: University of Leicester GOSAT-2 Proxy XCH4, v1.0", "abstract": "The University of Leicester GOSAT-2 Proxy XCH4, v1.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO GOSAT-2 Proxy XCH4 v1.0 dataset. This dataset is consistent with the GOSAT-1 dataset (https://catalogue.ceda.ac.uk/uuid/54df57f3aaed4867bec35ebdb31f4a8b/) The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed, via the same methodology as used for the GOSAT-1 data. See process information and documentation for further details.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the University of Leicester project team and delivered to Centre for Environmental Data Analysis (CEDA) for archival and publication. The data was produced as part of the Earth Observation Climate Information Service (EOCIS) project (grant number NE/X019071/1).", "removedDataReason": "", "keywords": "GOSAT-2, CH4, Methane, EOCIS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-08-08T14:55:56", "doiPublishedTime": "2025-08-11T08:47:56", "removedDataTime": null, "geographicExtent": { "ob_id": 2620, "bboxName": "UOL XCH4 Proxy v9", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43854, "dataPath": "/neodc/eocis/data/global_and_regional/methane/gosat2/CH4_GO2_OCPR/L2/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4988876768, "numberOfFiles": 1702, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 12260, "startTime": "2019-02-05T00:00:00", "endTime": "2023-12-31T23:59:59" }, "resultQuality": { "ob_id": 3411, "explanation": "The data has been fully validated by the University of Leicester project team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-05-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43582, "uuid": "f6ea609adda74d07916306c48d46cfae", "short_code": "cmppr", "title": "Composite process for EOCIS: University of Leicester GOSAT-2 Proxy XCH4 v9.0_eocis", "abstract": "The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed, via the same methodology as used for the GOSAT-1 data." }, "imageDetails": [ 130 ], "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" } ] } } ], "projects": [ { "ob_id": 5002, "uuid": "60e718d3f2957f742c89b2b4fc159718", "short_code": "proj", "title": "National Centre for Earth Observation (NCEO)", "abstract": "The National Centre for Earth Observation is a partnership of scientists and institutions, from a range of disciplines, who are using data from Earth observation satellites to monitor global and regional changes in the environment and to improve understanding of the Earth system so that we can predict future environmental conditions.\r\n\r\nNCEO's Vision is to unlock the full potential of Earth observation to monitor, diagnose and predict climate and environmental changes, ensuring that these scientific advances are delivered to the wider community embedded in world class science." }, { "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": [ 50542, 50543, 63576, 66452, 66456, 68622, 68623, 68624, 68625, 68626, 68627, 68628, 68629, 68630, 68631, 68632, 68633, 68634, 68635, 68636, 68637, 68638, 68639, 68640, 68641, 68642, 68643, 68644, 68645, 68646 ], "vocabularyKeywords": [], "identifier_set": [ 13490 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 208065, 208066, 208067, 208068, 208069, 208070, 208071, 208072, 208073, 208074, 208076, 209670, 209671 ], "onlineresource_set": [ 88444, 88445, 88446 ] }, { "ob_id": 43589, "uuid": "0363d592dd3548febaa6fc4056a618a9", "title": "Daily Mean, Minimum and Maximum Central England Temperature series v2.0.0.0", "abstract": "The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature.\r\n \r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nPrior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent.\r\n \r\nAlthough the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used.\r\n \r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nFor more information on the change in station selection, please refer to the papers supplied with the data collection.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-06-18T01:55:47", "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2025-05-09T15:34:24", "doiPublishedTime": "2025-05-09T15:40:43", "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 43629, "dataPath": "/badc/ukmo-cet/data/v2.0.0.0/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3070938, "numberOfFiles": 4, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12401, "startTime": "1772-01-01T00:00:00", "endTime": "2022-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43874, "uuid": "5ade1276557240b18823adae67c07991", "short_code": "cmppr", "title": "Met Office Hadley Centre CET v2 data process", "abstract": "Met Office Hadley Centre CET v2 data process" }, "imageDetails": [ 157 ], "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" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76039, 76040 ], "vocabularyKeywords": [], "identifier_set": [ 13380 ], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 208107, 208108, 208109, 208110, 208112, 208105, 208106, 208150 ], "onlineresource_set": [ 92989, 88464, 88465, 88466, 88467, 88469, 88470, 88471, 88724, 93164 ] }, { "ob_id": 43590, "uuid": "6d41468a8cd4462e923b4fc4f28b2dda", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.0.0", "abstract": "The Central England Temperature (HadCET) monthly series start in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe monthly temperature series are derived as the mean of the daily temperature series values.\r\n \r\nFor mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-06-18T01:55:50", "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2025-05-09T15:34:31", "doiPublishedTime": "2025-05-09T15:40:16", "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 43630, "dataPath": "/badc/ukmo-cet/data/v2.0.0.0/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 149125, "numberOfFiles": 7, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12403, "startTime": "1659-01-01T00:00:00", "endTime": "2022-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43874, "uuid": "5ade1276557240b18823adae67c07991", "short_code": "cmppr", "title": "Met Office Hadley Centre CET v2 data process", "abstract": "Met Office Hadley Centre CET v2 data process" }, "imageDetails": [ 157 ], "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" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76324, 76327, 76331, 76333, 76335, 76339, 76342, 76343, 76344, 76345, 76346, 76347, 76348, 76349, 76350, 76351, 76352, 76353, 76354, 76355, 76356, 76357, 76358, 76359, 76360, 76361, 76362, 76363, 76364, 76365, 76366, 76367, 76368, 76369, 76370, 76371, 76372, 76373, 76374, 76375, 76376, 76377 ], "vocabularyKeywords": [], "identifier_set": [ 13379 ], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 208117, 208116, 208118, 208119, 208120, 208121, 208122, 208123 ], "onlineresource_set": [ 88476, 88478, 88479, 88473, 88474, 88475, 88477, 92990, 92929, 93166 ] }, { "ob_id": 43591, "uuid": "06f14deceb27463c86f350ad278245ca", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.0.0", "abstract": "The Central England Temperature (HadCET) seasonal series starts in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe seasonal temperature series are derived as the mean of the monthly temperature series values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-06-18T01:55:48", "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2025-05-09T15:34:40", "doiPublishedTime": "2025-05-09T15:39:48", "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 43631, "dataPath": "/badc/ukmo-cet/data/v2.0.0.0/seasonal/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67625, "numberOfFiles": 7, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12404, "startTime": "1659-01-01T00:00:00", "endTime": "2022-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43874, "uuid": "5ade1276557240b18823adae67c07991", "short_code": "cmppr", "title": "Met Office Hadley Centre CET v2 data process", "abstract": "Met Office Hadley Centre CET v2 data process" }, "imageDetails": [ 157 ], "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" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76324, 76325, 76326, 76327, 76328, 76329, 76330, 76331, 76332, 76333, 76334, 76335, 76336, 76337, 76338, 76339, 76340, 76341 ], "vocabularyKeywords": [], "identifier_set": [ 13378 ], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 208128, 208127, 208129, 208130, 208131, 208132, 208133, 208134 ], "onlineresource_set": [ 92991, 88483, 88486, 88487, 88480, 88481, 88482, 88485, 92928, 93165 ] }, { "ob_id": 43592, "uuid": "1d2020153f84407ba2852acfd8579886", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.0.0.0", "abstract": "The Central England Temperature (HadCET) daily mean series is anchored to Gordon Manley’s original temperature record prior to 1973. Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nFrom 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation.\r\n \r\nThese static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. \r\n \r\nUrbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time.\r\n \r\nThis dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n\r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-06-18T01:55:49", "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2025-05-09T10:12:36", "doiPublishedTime": "2025-05-09T15:46:00", "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 43628, "dataPath": "/badc/ukmo-cet/data/v2.0.0.0/adjustments/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16163, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12402, "startTime": "1878-01-01T00:00:00", "endTime": "2022-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43872, "uuid": "9fdd3f704cfa4e0d8575decd494fb038", "short_code": "comp", "title": "Static adjustment process applied to Hadley Centre Central England Temperature Version 2 Data", "abstract": "A series of adjustments and homogenisations are applied to station data to correct for urbanisation and alignment to the station selection described in Manley 1974. See Legg et al. (2025) for a full description of these processes and adjustments applied. References are available as online references on this record." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "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" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57649, 76378, 76379, 76380, 76381, 76382, 76383, 76384, 76385, 76386, 76387, 76388, 76389, 76390, 76391 ], "vocabularyKeywords": [], "identifier_set": [ 13381 ], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 208138, 208139, 208140, 208141, 208145, 208142, 208143, 208144 ], "onlineresource_set": [ 92988, 88488, 88489, 88490, 88491, 88494, 88495, 88493, 93167 ] }, { "ob_id": 43598, "uuid": "a71afe47c63a4e4a9c9d5d18625cd8f9", "title": "Met Office Cardington: cloud height measurements from a Vaisala CT25K_A Laser Ceilometer, 2014-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated two Vaisala CT25K ceilometers deployed at Cardington since 2014, denoted by unit numbers A and B. This dataset covers data from unit A.\r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\n\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-04-29T01:57:46", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T12:58:59", "doiPublishedTime": "2025-04-28T12:59:05", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44160, "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ct25k-A/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11844025250, "numberOfFiles": 3776, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12152, "startTime": "2014-07-16T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44214, "uuid": "dcac7ef43ad24f66ab63e9b7759f0be9", "short_code": "acq", "title": "MO Cardingtonn CT25k_a deployment", "abstract": "MO Cardingtonn CT25k_a deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75733, 75863, 75864, 75865, 75866, 75867, 75868, 75869 ], "vocabularyKeywords": [], "identifier_set": [ 13359 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208175, 208176, 208177, 208178, 208179, 208180, 208181, 208182, 208183, 208184, 208185, 208186, 208187 ], "onlineresource_set": [] }, { "ob_id": 43600, "uuid": "51d139c161e746e0a9d91e1156958a88", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD40 Laser Ceilometer, 2010-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD40 Ceilometer between 2009-2014. \r\n\r\nThe LD40 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD40 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD40 provides reliable determination of cloud height up to 13 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-06-26T01:53:41", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-05-12T15:32:19", "doiPublishedTime": "2025-06-25T11:59:50", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44254, "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ld40", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 51736049006, "numberOfFiles": 1271, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12153, "startTime": "2010-07-06T00:00:00", "endTime": "2014-08-04T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. 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The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75733, 75863, 75864, 75866, 75960, 75961, 75962, 75963, 75964, 75965, 75966, 75967 ], "vocabularyKeywords": [], "identifier_set": [ 13430 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208204, 208205, 208206, 208207, 208208, 208201, 208202, 208203, 208209, 208210, 208211, 208212, 208213 ], "onlineresource_set": [] }, { "ob_id": 43601, "uuid": "fe75afd7723140c19edfdeb75fed1e48", "title": "Met Office Cardington: 1 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 1 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\n\r\nA full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Cardington, Met Office, observation, turbulence, wind speed, wind direction, boundary layer, temperature, relative humidity, upwelling, shortwave, longwave, radiative flux, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, flux tower, surface, subsurface, measurement", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-08-19T14:07:16", "doiPublishedTime": "2025-08-19T14:09:00", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44807, "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/01min-averages", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9629320039, "numberOfFiles": 7525, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12148, "startTime": "2004-06-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. 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The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50510, 63667, 75852, 81111, 81112, 81113, 81114, 81115, 81116, 81117, 81118, 81119, 81120, 81121, 81122, 81123, 81124, 81125, 81126, 81127, 81128, 81129, 81130, 81131, 81132, 81133, 81134, 81135, 81136, 81137, 81138, 81139, 81140, 81141, 81142, 81143, 81144, 81145, 81146, 81147, 81148, 81149, 81150, 81151, 81152, 81153, 81154, 81155, 81156, 81157, 81158, 81159, 81160, 81161, 81162, 81163, 81164, 81165, 81166, 81167, 81168, 81169, 81170, 81171, 81172, 81173, 81174, 81175, 81176, 81177, 81179, 81180, 81181, 81183, 81185, 81186, 81187, 81189, 81191, 81193, 81194, 81196, 81199, 81201, 81202, 81204, 81205, 81206, 81207, 81209, 81210, 81212, 81214, 81215, 81218, 81220, 81222, 81223, 81224, 81226, 81228, 81230, 81231, 81233, 81235, 81236, 81237, 81239, 81240, 81242, 81244, 81247, 81248, 81249, 81250, 81252, 81253, 81255, 81257, 81259, 81261, 81263, 81264, 81266, 81268, 81269, 81270, 81271, 81273, 81274, 81277, 81279, 81281, 81284, 81286, 81288, 81290, 81291, 81293, 81296, 81298, 81299, 81300, 81302, 81303, 81305, 81307, 81309, 81310, 81312, 81314, 81316, 81318 ], "vocabularyKeywords": [], "identifier_set": [ 13510 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208216, 208217, 208218, 208219, 208220, 208221, 208214, 208215, 208222, 208223, 208224, 208225, 208226 ], "onlineresource_set": [] }, { "ob_id": 43602, "uuid": "5d8997e0cd974835999a8d8ba677b26f", "title": "Met Office Cardington: precipitation measurements from a Thies disdrometer, 2019-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Thies laser disdrometer, a laser optical device used for the measurement of diameter and fall velocity of hydrometeors, from 2019 to 2024. From such measurements, it is possible to classify different types of precipitation, such as drizzle, rain, hail, snow, and mixed precipitation, quantify precipitation in a time interval, and derive size and velocity joint distribution. Thies laser disdrometer can in addition detect fine drizzle, drop fall speed and drop size distribution.\r\n\r\nThe disdrometer is the most sophisticated precipitation instrument deployed at Cardington.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-03-24T16:35:34", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "precipitation, rainfall, drizzle rate, droplet size distribution, fall speed, spectra, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-28T08:32:49", "doiPublishedTime": "2025-04-28T08:36:06", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43704, "dataPath": "/badc/ukmo-cardington/data/complete-collection/disdrometer/thies", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4269163190, "numberOfFiles": 1533, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12158, "startTime": "2019-04-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43693, "uuid": "8be7b4ca91b548d6901862248b4e40de", "short_code": "acq", "title": "Met Office Cardington metoffice-obr-laser-precipitation-monitor-thies deployment", "abstract": "Met Office Cardington metoffice-obr-laser-precipitation-monitor-thies deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75739, 75740, 75741, 75742, 75743, 75744, 75745, 75746, 75747, 75748, 75749, 75750, 75751, 75752, 75753, 75754, 75755, 75756, 75757, 75758, 75759, 75760, 75761, 75762, 75763 ], "vocabularyKeywords": [], "identifier_set": [ 13331 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208232, 208231, 208230, 208228, 208227, 208234, 208229, 208233, 208235, 208236, 208237, 208238, 208239 ], "onlineresource_set": [] }, { "ob_id": 43603, "uuid": "ba87087355ed4e748d1650d012adc4ef", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 01, 2009-2021", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 01.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarised pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-03-24T18:09:09", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Doppler lidar, vertical stares, wind scans, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T10:51:34", "doiPublishedTime": "2025-04-28T08:26:25", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43705, "dataPath": "/badc/ukmo-cardington/data/complete-collection/lidar/halo-lidar-01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 194670361799, "numberOfFiles": 11056, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12149, "startTime": "2009-01-30T00:00:00", "endTime": "2021-07-21T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43684, "uuid": "b5718df36f2c42be8cfe895fc2debf80", "short_code": "acq", "title": "Met Office Cardington Halo unit 01 deployment", "abstract": "Met Office Cardington Halo unit 01 deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75764, 75765, 75766, 75767, 75768, 75769, 75770, 75771, 75772, 75773, 75774, 75775, 75776, 75777, 75778, 75779, 75780 ], "vocabularyKeywords": [], "identifier_set": [ 13327 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208240, 208244, 208242, 208241, 208243, 208247, 208246, 208245, 208248, 208249, 208250, 208251, 208252 ], "onlineresource_set": [] }, { "ob_id": 43604, "uuid": "6ebd987dac6f4d1692d878258bf7112c", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 30, 2011-2022", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 30.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-03-24T22:16:30", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Doppler lidar, vertical stares, wind scans, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T08:11:02", "doiPublishedTime": "2025-04-28T08:25:42", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43706, "dataPath": "/badc/ukmo-cardington/data/complete-collection/lidar/halo-lidar-30", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1040145624066, "numberOfFiles": 7630, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12150, "startTime": "2011-03-22T00:00:00", "endTime": "2022-06-05T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43683, "uuid": "0265b1af9d204fdca0fabdd6466306b8", "short_code": "acq", "title": "Met Office Cardington Halo unit 30 deployment", "abstract": "Met Office Cardington Halo unit 30 deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75764, 75765, 75766, 75767, 75768, 75769, 75770, 75771, 75772, 75773, 75774, 75775, 75776, 75777, 75778, 75779, 75780 ], "vocabularyKeywords": [], "identifier_set": [ 13326 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208259, 208258, 208257, 208256, 208254, 208253, 208255, 208260, 208261, 208262, 208263, 208264, 208265 ], "onlineresource_set": [] }, { "ob_id": 43605, "uuid": "9bf50847dd4d49a281d5663d512e1646", "title": "Met Office Cardington: humidity profiles, liquid water paths and integrated water vapour measurement from a RPG Humpro microwave radiometer, 2016-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the RPG Humpro profiling microwave radiometer retrieving humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-06-20T01:54:15", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "liquid water path, integrated water vapour, relative humidity profile, liquid water profile, passive, radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-06-19T16:51:33", "doiPublishedTime": "2025-06-19T16:51:53", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43709, "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/humpro", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23699537696, "numberOfFiles": 1904, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12157, "startTime": "2016-06-02T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. 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The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75687, 75688, 75689, 75690, 75691, 75692, 75693, 75694, 75695, 75696, 75697, 75698, 75699, 75700, 75701, 75702, 75703 ], "vocabularyKeywords": [], "identifier_set": [ 13423 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208273, 208272, 208271, 208270, 208269, 208268, 208267, 208266, 208274, 208275, 208276, 208277, 208278 ], "onlineresource_set": [] }, { "ob_id": 43606, "uuid": "21c423889e6a4035ac7f4761e467de2b", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics WVR-1100 microwave radiometer, 2002-2022", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics WVR-1100 passive microwave radiometer measuring the atmospheric emissions at two frequencies (23.8 and 31.4 GHz) which provided brightness temperature at these channels, retrieve column integrations of liquid water path and integrated water vapour.\r\n\r\nThe WVR-1100 used a bi-linear regression method based on local radiosonde launches to retrieve column integrations of liquid water and water vapour. The WVR-1100 in addition performed ‘tipping curve’ observations using off-zenith slant scans where the optical depth for each frequency varies in a known way with atmospheric geometrical thickness. Tipping curves assume the atmosphere is horizontally homogeneous. The overall error in liquid water path is estimated to be 0.015 kg m-2. Water vapour and liquid water column amounts were logged typically every 9-10 s. Absolute calibrations for the absorbing channels were done periodically using an external black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-03-24T16:48:11", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "liquid water path, integrated water vapour, temperature profile, passive, microwave radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T08:08:57", "doiPublishedTime": "2025-04-28T08:29:44", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43708, "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/wvr1100", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4360834295, "numberOfFiles": 6858, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12155, "startTime": "2002-12-05T00:00:00", "endTime": "2022-11-15T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). 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The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75692, 75729, 75730, 75731, 75732, 75733, 75734, 75735, 75736, 75737, 75738 ], "vocabularyKeywords": [], "identifier_set": [ 13329 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208286, 208285, 208284, 208283, 208282, 208281, 208280, 208279, 208287, 208288, 208289, 208290, 208291 ], "onlineresource_set": [] }, { "ob_id": 43607, "uuid": "5934d2a5706c4a3c9caa15188d9ed24b", "title": "Met Office Cardington: vertical profile measurements from Vaisala radiosonde ascents, 1996-2024", "abstract": "This repository provides data from all radiosondes launched at Cardington between 1996-2024.\r\nThe sonde unit was operated by the Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England.\r\n\r\nSonde launches were performed with a mean ascent rate of 2.5 m s-1. The slower ascent rate compared to an operational sonde ascent rate enables improved vertical sampling resolution in the atmospheric boundary layer whilst maintaining a sufficient ventilation rate over the sensors. From 1996-2002, a RS80 device was used with ThermoCap, HumiCap, BaroCap sensors, and between 2006-2014 a RS92-SGPB device was used with ThermoCap, HumiCap, capacitive pressure sensors. Sonde launches from 2014-2024 used an RS41-SG(P) device with PRT, silicon capacitive pressure (SGP), and HumiCap sensors.\r\n\r\nThe launches of radiosondes were performed on a project related basis only and all available ascent data has been provided from the Cardington facility. Please note that there were no ascents in 2022.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-04-29T01:59:19", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "observation, radiosonde, wind, speed, temperature, relative, humidity, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T08:13:13", "doiPublishedTime": "2025-04-28T08:30:42", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43744, "dataPath": "/badc/ukmo-cardington/data/complete-collection/sonde/vaisala", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 695754351, "numberOfFiles": 1892, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12159, "startTime": "1996-05-22T07:56:00", "endTime": "2024-09-21T14:00:19" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43695, "uuid": "b48d399b6c984899833e176b1c0925bb", "short_code": "acq", "title": "Met Office Cardington Radiosonde Unit Deployments", "abstract": "Met Office Cardington Radiosonde Unit Deployments" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62353, 75700, 75794, 75795, 75796, 75797, 75798, 75799, 75800, 75801, 75802, 75803, 75804, 75805, 75806, 75807, 75808, 75809, 75810, 75811, 75812, 75813, 75814, 75815, 75816, 75817, 75818, 75819, 75820, 75821, 75822, 75823, 75824, 75825, 75826, 75827, 75828, 75829, 75830, 75831, 75832, 75833, 75834, 75835, 75836, 75837 ], "vocabularyKeywords": [], "identifier_set": [ 13267, 13330 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208299, 208298, 208297, 208296, 208295, 208294, 208293, 208292, 208300, 208301, 208302, 208303, 208304 ], "onlineresource_set": [] }, { "ob_id": 43613, "uuid": "07d609ca7d7942278d8f324a642535c0", "title": "CCMI-2022: refD2 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the GEOSCCM model run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) in the USA.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30\r\n\r\n- Chemical mechanisms and their applications in the Goddard Earth Observing System (GEOS) earth system model. Nielsen, J. E., Pawson, S., Molod, A., Auer, B., da Silva, A. M., Douglass, A. R., ... Wargan, K. (2017). Journal of Advances in Modeling Earth Systems, 9, 3019–3044. https://doi.org/10.1002/2017MS001011\r\n- Change in tropospheric ozone in the recent decades and its contribution to global total ozone. Liu, J., Strode, S. A., Liang, Q., Oman, L.D., Colarco, P. R., Fleming, E. L., et al. (2022). Journal of Geophysical Research: Atmospheres, 127, e2022JD037170. https://doi.org/10.1029/2022JD037170", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-11-29T15:23:05", "latestDataUpdateTime": "2025-03-11T17:05:30", "updateFrequency": "", "dataLineage": "Data were produced by scientists at the NASA Goddard Space Flight Center (NASA-GSFC) and published by the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "CCMI-2022, refD2, Hindcast, GEOSCCM, NASA-GSFC, APARC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "1x1 degree", "status": "completed", "dataPublishedTime": "2025-03-12T16:26:11", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43615, "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NASA-GSFC/GEOSCCM/refD2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 573826845723, "numberOfFiles": 885, "fileFormat": "Files are Net-CDF formatted" }, "timePeriod": { "ob_id": 12169, "startTime": "1960-01-01T00:00:00", "endTime": "2100-12-31T00:00:00" }, "resultQuality": { "ob_id": 3704, "explanation": "Data checked by provider prior to archiving. Data passed CEDA quality control procedure, ceda-cc.", "passesTest": true, "resultTitle": "CCMI-2022 Data and Metadata Quality Statement", "date": "2021-06-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 39351, "uuid": "97c7359a058341a6992965389227e4f4", "short_code": "comp", "title": "GEOSCCM model deployed at NASA-GSFC", "abstract": "GEOSCCM model deployed at NASA-GSFC" }, "procedureCompositeProcess": null, "imageDetails": [ 146 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2544, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ccmi-2022", "label": "restricted: ccmi-2022 group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32805, "uuid": "92dddf542adc44b5898f535be4179705", "short_code": "proj", "title": "CCMI-2022 Chemistry-climate model initiative, phase 2", "abstract": "CCMI-2022 Chemistry-climate model initiative, phase 2 is a World Climate Research Programme (WCRP) Stratosphere-Troposphere Processes and their Role in Climate (SPARC) project to study the evolution of the ozone layer using chemistry-climate model simulations. CCMI-2022 data will support the World Meteorologcial Organisation (WMO)/ United Nations Environment Programme (UNEP) Scientific Assessment of Ozone Depletion Report 2022." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50428, 50429, 50431, 50432, 50433, 50434, 50435, 50436, 50437, 50438, 50439, 50440, 50441, 50442, 50443, 50444, 50445, 50446, 50447, 50448, 50450, 50451, 50452, 50453, 50454, 50455, 50456, 50457, 50458, 50459, 50460, 50461, 50462, 50463, 50464, 50465, 50466, 50467, 50468, 50469, 50470, 50471, 50472, 50473, 50475, 50476, 50477, 50478, 50479, 50480, 50482, 50483, 50484, 50485, 50486, 50487, 50488, 50489, 50490, 50491, 50492, 50493, 50494, 50495, 50496, 50497, 50498, 50501, 50502, 50504, 50505, 50506, 50507, 50508, 50551, 50552, 50555, 50566, 50590, 50591, 50596, 50598, 50622, 51208, 51210, 51211, 53111, 54366, 54369, 54378, 54836, 59920, 59921, 59922, 60438, 60451, 60452, 60459, 61535, 61536, 61607, 61608, 61609, 61610, 61611, 64080, 66395, 66396, 68033, 68034, 68035, 68036, 71572, 71613, 71619, 71691, 71783, 74528, 74529, 74530, 74795 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 39463, "uuid": "4e326c5a514e49dcb634b544eb26f4d8", "short_code": "coll", "title": "CCMI-2022 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "The GEOSCCM model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe GEOSCCM chemistry-climate model is run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth." } ], "responsiblepartyinfo_set": [ 208368, 208367, 208366, 208365, 208364, 208363, 208362, 208361, 208369 ], "onlineresource_set": [ 88497, 88498, 88499, 88500 ] }, { "ob_id": 43614, "uuid": "b850297a4de4493b8ff048f574811e25", "title": "UM-CASIM Simulation Data for campaign cases from the DCMEX Project", "abstract": "This dataset contains output from the Unified Model - Cloud AeroSol Interacting Microphysics (UM-CASIM) model simulations of campaign case studies carried out as part of the Deep Convective Microphysics Experiment (DCMEX) project.\r\nThe simulation is designed to investigate cloud microphysics and convective processes under varying atmospheric conditions. It includes 1.5km gridded data of cloud and radiative properties, along with a number of other variables of potential interest such as precipitation and lightning. It is intended to support both process-level studies and model validation efforts. \r\nSingle level data is provided in files with suffixes \"pa000\" (time-averages) and \"px\" (instantaneous). Pressure level data is provided in files with suffixes \"pw\". Model level data is provided files with suffixes \"pz\".\r\nThese simulations utilise data collected during the DCMEX measurement campaign in July and August 2022, New Mexico, USA. https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C\r\nThis research has been supported by the Natural Environment Research Council (grant nos. NE/T006420/1). Paul Field (UK Met Office) supported the simulation setup and experiment design.", "creationDate": "2025-03-11T12:14:11.452272", "lastUpdatedDate": "2025-03-11T12:07:30", "latestDataUpdateTime": "2025-03-14T14:48:23", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "UM-CASIM,Cloud Modeling,DCMEX,Convection-permitting modelling,Microphysics", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-03-14T15:07:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4706, "bboxName": "DCMEX UM-CASIM", "eastBoundLongitude": -102.0, "westBoundLongitude": -112.0, "southBoundLatitude": 29.0, "northBoundLatitude": 38.0 }, "verticalExtent": null, "result_field": { "ob_id": 43616, "dataPath": "/badc/dcmex/data/DCMEX_UM_CASIM", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3222360333423, "numberOfFiles": 21818, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12143, "startTime": "2022-07-16T00:00:00", "endTime": "2022-08-09T23:59:59" }, "resultQuality": { "ob_id": 4678, "explanation": "Data are as supplied by the project team. No quality information is available", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43612, "uuid": "bcc2f83d1f144316ac299399f0a8adca", "short_code": "comp", "title": "UM-CASIM for DCMEX", "abstract": "DCMEX-specific setup of UM-CASIM with bespoke microphysical schemes" }, "procedureCompositeProcess": null, "imageDetails": [], "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" } ] } } ], "projects": [ { "ob_id": 38131, "uuid": "7231e85e8ec34e36a6d2815d7edf2330", "short_code": "proj", "title": "Deep Convective Microphysics Experiment (DCMEX)", "abstract": "The goal of the Deep Convective Microphysics Experiment (DCMEX) project is to ultimately reduce the uncertainty in equilibrium climate sensitivity by improving the representation of microphysical processes in global climate models (GCMs). It is the anvils produced by tropical systems in particular, that contribute significantly to cloud feedbacks. The anvil radiative properties, lifetimes and areal extent are the key parameters. DCMEX will determine the extent to which these are influenced, or even controlled by the cloud microphysics including the habits, concentrations and sizes of the ice particles that make up the anvils, which in turn depend on the microphysical processes in the mixed-phase region of the cloud as well as those occurring in the anvil itself.\r\n\r\nA measurement campaign took place in July-August 2022 over the Magdalena mountains, New Mexico. The FAAM BAe-146 aircraft, dual-polarisation doppler radar, aerosol instruments and stereo-camera observations collected data which was then combined with modelling activities to improve the representation of deep convective microphysics within climate models." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 18405, 18408, 52756, 52761, 53106, 54871, 54872, 54876, 54877, 54879, 59037, 59038, 62353, 62529, 62539, 62540, 64049, 66241, 67790, 67791, 70293, 70294, 70295, 74756, 74757, 74758, 74759, 74760, 74761, 74762, 74763, 74764, 74765, 74766, 74767, 74768, 74769, 74770, 74771, 74772, 74773, 74774, 74775, 74776, 74777, 74778, 74779, 74780, 74781, 74782, 74783, 74784, 74785, 74786, 74787, 74788, 74789, 74790, 74791, 74792, 74793, 74794 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 208376, 208375, 208374, 208373, 208372, 208371, 208370, 208377 ], "onlineresource_set": [ 88501, 88502, 88503 ] }, { "ob_id": 43617, "uuid": "77bef4103ec2426281a5e74ccc0ba5c7", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 35, 2012-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 35.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-03-25T01:08:02", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Doppler lidar, vertical stares, wind scans, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T08:12:15", "doiPublishedTime": "2025-04-28T08:24:40", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43707, "dataPath": "/badc/ukmo-cardington/data/complete-collection/lidar/halo-lidar-35", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 856666272579, "numberOfFiles": 7165, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12151, "startTime": "2012-04-02T17:26:04", "endTime": "2024-12-25T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43680, "uuid": "3bf6a589f0f944709eee3a88b2c72481", "short_code": "acq", "title": "Met Office Cardington Halo unit 35 deployment", "abstract": "Met Office Cardington Halo unit 35 deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75764, 75765, 75766, 75767, 75768, 75769, 75770, 75771, 75772, 75773, 75774, 75775, 75776, 75777, 75778, 75779, 75780 ], "vocabularyKeywords": [], "identifier_set": [ 13325 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208500, 208499, 208498, 208497, 208496, 208495, 208494, 208493, 208501, 208502, 208503, 208504, 208505 ], "onlineresource_set": [] }, { "ob_id": 43618, "uuid": "040f19261fa24683988bff79b255f0a8", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 25.01", "abstract": "This version 25.01 dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases.\r\n\r\nThe four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2024-08-16T13:43:03", "latestDataUpdateTime": "2025-03-11T16:49:04", "updateFrequency": "notPlanned", "dataLineage": "Data were collected using in situ trace gas analysers. Data quality assurance and quality control is carried out regularly by each station PI, and overall DECC Network data reviews are conducted every 2 months. Data are traceable to international calibration scales. Data were collected by the DECC network team and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataReason": "", "keywords": "UK-DECC, trace gases", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-03-11T17:18:45", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4065, "bboxName": "UK DECC network", "eastBoundLongitude": 1.1387, "westBoundLongitude": -2.53992, "southBoundLatitude": 50.97675, "northBoundLatitude": 54.35861 }, "verticalExtent": null, "result_field": { "ob_id": 43620, "dataPath": "/badc/uk-decc-network/data/v25.01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3419857009, "numberOfFiles": 129, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12144, "startTime": "2012-02-23T00:00:00", "endTime": "2025-01-31T23:59:59" }, "resultQuality": { "ob_id": 4465, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data An alysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2023-12-01" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43188, "uuid": "f1210dc7082943d8b5f2fe9e1553de62", "short_code": "acq", "title": "UK-DECC trace species measurements at UK-DECC network sites V24.09", "abstract": "UK-DECC trace species measurements including radon at UK-DECC network sites including Ridge Hill Tall Tower, Bilsdale Tall Tower, Heathfield Tall Tower and Tacolneston Tall Tower." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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" } ] } } ], "projects": [ { "ob_id": 27561, "uuid": "081a5ec3884441398aa2daae53a6189b", "short_code": "proj", "title": "UK DECC (Deriving Emissions linked to Climate Change) Network", "abstract": "The core UK Deriving Emissions linked to Climate Change (DECC) Network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. High frequency measurements of all major greenhouse gases are made at the four UK stations, including carbon dioxide, methane, nitrous oxide and sulfur hexafluoride. \r\n\r\nData from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks. This work is funded by the UK Government Department for Energy Security and Net Zero (DESNZ) under contracts TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and and prj_1604 to the University of Bristol and through the National Measurement System at the National Physical Laboratory." }, { "ob_id": 43619, "uuid": "56746739572d409f8f828c5b96eb210d", "short_code": "proj", "title": "Radon measurements colocated with the UK greenhouse gas observation network", "abstract": "Radon (222Rn) has been measured at a number of monitoring stations across the UK greenhouse gas observation network. Radon is measured alongside greenhouse gases at the same or similar inlet heights. These measurements help us to better understand and evaluate transport model uncertainties associated with the estimation of regional greenhouse gas emissions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 12182, 74716, 74717, 74718, 74719, 74720, 74721, 74722, 74723, 74724, 74725, 74726, 74727, 74728, 74729, 74730, 74731, 74732, 74733, 74734, 74735, 74736, 74737, 74738, 74739, 74740, 74741, 74742, 74743, 74744, 74745, 74746, 74747, 74748, 74749, 74750, 74751, 74752, 74753, 74754, 74755 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 27499, "uuid": "f5b38d1654d84b03ba79060746541e4f", "short_code": "coll", "title": "UK DECC (Deriving Emissions linked to Climate Change) Network", "abstract": "This dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\n\r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." } ], "responsiblepartyinfo_set": [ 208744, 208732, 208731, 208730, 208729, 208728, 208727, 208725, 208733, 208734, 208735, 208736, 208737, 208738, 208726, 208739, 208740, 208749, 208741, 208742, 208743, 208745, 208746, 208750, 208747, 208748 ], "onlineresource_set": [ 88504, 88505 ] }, { "ob_id": 43622, "uuid": "6822dc77dcd34c85b015d5f8b40b4ce9", "title": "ATSR-1: Multimission land and sea surface temperature data, 4th Reprocessing (v4) AT_1_RBT", "abstract": "The Along Track Scanning Radiometer1 (ATSR1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe ERS1 ATSR1 Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis A/ATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. \r\n\r\nThe 4th reprocessing of ERS-1 ATSR-1 data was completed in 2023.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-03-25T01:52:58", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) ERS1 satellite and this fourth reprocessing was completed by ESA and the data copied to the Centre for Environmental Data Analysis (CEDA) where users can access the data.", "removedDataReason": "", "keywords": "ATSR1, AATSR multimission, Sentinel-SAFE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-03-24T11:08:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43623, "dataPath": "/neodc/aatsr_multimission/atsr1-v4/data/AT_1_RBT", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16464847690224, "numberOfFiles": 46785, "fileFormat": "AT_1_RBT ESA SAFE Format" }, "timePeriod": { "ob_id": 12145, "startTime": "1991-07-17T00:00:00", "endTime": "1997-12-18T23:59:59" }, "resultQuality": { "ob_id": 4694, "explanation": "Data provided by ESA. CEDA downloaded the data from the ESA/Telespazio FTP distribution server at ESA request, to make available on the CEDA archive.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-24" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 10929, "uuid": "41017674acff491b8d94982ee37db4f6", "short_code": "cmppr", "title": "Composite Process for: Data from ERS1 ATSR1 at ERS-1 for the ESA ERS Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from ERS1 ATSR1 at ERS-1 for the ESA ERS Campaign; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1;" }, "imageDetails": [ 114 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2586, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 49, "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7803, "uuid": "18881496135820e8772da089385f53ff", "short_code": "proj", "title": "ESA ERS", "abstract": "The ESA (European Space Agency) ERS (Earth Resources Satellite) programme was composed of two missions, ERS-1 and ERS-2, which were launched into the same orbit in 1991 and 1995 respectively. The two spacecraft were designed as identical twins with one important difference – ERS-2 included an extra instrument (GOME) designed to monitor ozone levels in the atmosphere. Due to the satellites' shared orbit, a tandem mission was implemented following the launch of ERS-2, whereby ERS-2 passed the same point on the ground one day later than ERS-1." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43182, "uuid": "b05e83750f7d408c897386757136e8d6", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, 4th reprocessing", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis ATSR1 product [AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of Earth Resource Satellite (ERS) ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [AT1_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022. The reprocessed data includes improvements to calibration and data format.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data and allows for access via JASMIN." } ], "responsiblepartyinfo_set": [ 208764, 208763, 208762, 208761, 208760, 208759, 208758, 208757 ], "onlineresource_set": [ 88508, 88509, 88510, 88668 ] }, { "ob_id": 43624, "uuid": "e95903ef0e0a4bfa92f528b86c4a8b0f", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from GOSAT-2, derived using the SRFP (RemoTeC) full physics algorithm (CO2_GO2_SRFP), version 2.0.3", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the Remote Sensing of Greenhouse Gases for Carbon Cycle Modeling (RemoTeC) SRON Full Physics (SRFP) retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-10-12T15:59:24", "latestDataUpdateTime": "2025-05-01T01:55:31", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project. 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The scanner was set to an angular step of 0.04 degrees and 0.02 degress for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). 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Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13255 ], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 208827, 208825, 208823, 208822, 208821, 208820, 208819, 208818, 208826 ], "onlineresource_set": [ 88534, 88537 ] }, { "ob_id": 43640, "uuid": "691e8c36bb9446efaa46cc67d37aadae", "title": "Met Office Cardington: cloud height measurements from a Vaisala CT25K_B Laser Ceilometer, 2015-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated two Vaisala CT25K ceilometers deployed at Cardington since 2014, denoted by unit numbers A and B. This dataset covers data from unit B.\r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\n\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-04-29T01:57:48", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T12:59:54", "doiPublishedTime": "2025-04-28T12:59:54", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44161, "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ct25k-B/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10363193204, "numberOfFiles": 3317, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12367, "startTime": "2015-10-22T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44217, "uuid": "0e67909fe3af4333ad2e5b9fa147f00d", "short_code": "acq", "title": "MO Cardingtonn CT25k_b deployment", "abstract": "MO Cardingtonn CT25k_b deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75733, 75863, 75864, 75865, 75866, 75867, 75868, 75869 ], "vocabularyKeywords": [], "identifier_set": [ 13360 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208853, 208852, 208851, 208850, 208849, 208848, 208846, 208847, 208854, 208855, 208856, 208857, 208858 ], "onlineresource_set": [] }, { "ob_id": 43641, "uuid": "06a71fd559884416ad798e452aa21bef", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD25 Laser Ceilometer, 2003-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD25 Ceilometer between 2003-2014.\r\n\r\nThe LD25 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD25 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD25 provides reliable determination of cloud height up to 7.5 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-06-26T01:53:40", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-05-12T15:30:30", "doiPublishedTime": "2025-06-25T12:00:33", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44253, "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ld25", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 75069270666, "numberOfFiles": 3167, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12154, "startTime": "2003-08-04T00:00:00", "endTime": "2014-07-18T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44257, "uuid": "be78356b20a74924b92a6ead3a30d966", "short_code": "acq", "title": "MO Cardington LD25 deployment", "abstract": "MO Cardington LD25 deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75733, 75863, 75864, 75866, 75960, 75961, 75962, 75963, 75964, 75965, 75966, 75967 ], "vocabularyKeywords": [], "identifier_set": [ 13431 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208866, 208865, 208864, 208863, 208862, 208861, 208860, 208859, 208867, 208868, 208869, 208870, 208871 ], "onlineresource_set": [] }, { "ob_id": 43642, "uuid": "d44b15c8f183404ca47291bc677f93e0", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics TP/WVP-3000 microwave radiometer, 2011-2016", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics TP/WVP-3000 microwave radiometer using a neural network to retrieve profiles of water vapour and temperature. The TP/WVP-3000 was set up to take readings in the vertical approximately every 8 s. Regular tipping curve scans were done over a range of zenith angles (30, 45, 90, 135, 150 degrees) to compare the atmospheric radiances to that of known values at relatively opaque water vapour frequencies (with the opacity being a linear function of the slant path), in addition using frequent views of an internal temperature-controlled black body. Absolute calibrations for the absorbing channels were done periodically using a black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-04-29T01:59:17", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "liquid water path, integrated water vapour, temperature profile, water vapour profile, relative humidity profile, liquid water profile, passive, microwave radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-26T08:08:08", "doiPublishedTime": "2025-04-28T08:28:34", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43716, "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/wvp-3000", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1959573316, "numberOfFiles": 556, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12156, "startTime": "2011-10-18T00:00:00", "endTime": "2016-08-30T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43689, "uuid": "f20f5c496ae84c1e8f116693f4d55651", "short_code": "acq", "title": "Met Office Cardington metoffice-obr-microwave-radiometer-tp-wvp-3000 deployment", "abstract": "Met Office Cardington metoffice-obr-microwave-radiometer-tp-wvp-3000deployment" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75692, 75694, 75733, 75737, 75781, 75782, 75783, 75784, 75785, 75786, 75787, 75788, 75789, 75790, 75791, 75792, 75793 ], "vocabularyKeywords": [], "identifier_set": [ 13328 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208879, 208878, 208877, 208876, 208875, 208874, 208873, 208872, 208880, 208881, 208882, 208883, 208884 ], "onlineresource_set": [] }, { "ob_id": 43643, "uuid": "19c5dc39bb8c4c40a5643678c31168e7", "title": "Met Office Cardington: Land surface model (LSM) meteorological driving data, 2005-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, compiled a forcing meteorological dataset for the Cardington site to drive the JULES standalone land surface model (LSM) that covers the whole year 2005-2024 data record, albeit only based on 30 min temporal resolution. JULES is the UK community LSM that is used in the Met Office Unified Model (MetUM) from short-range weather forecasts through to climate predictions, from global coverage down to a single point. JULES requires the following seven atmospheric input variables at every time step for it to able to run using prescribed meteorology from field observations: downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, and specific humidity. \r\n\r\nThe drive dataset is a NetCDF file for each of the four drive heights (2, 10, 25 and 50 m), such that temperature, wind and humidity drive variables are taken from the different mast heights, with the pressure, radiation and rainfall remaining unchanged as they were only available from fixed levels (i.e. pressure at 1.2 m, downwelling radiation at 4 m, upwelling radiation at 2 m, and rainfall at the surface).\r\n\r\nThe corresponding 4 files have the following temporal ranges:\r\n\r\n - 2 m drive height: 20120101-0000 to 20241231-2330\r\n - 10 m drive height: 20050101-0000 to 20241231-2330\r\n - 25 m drive height: 20050101-0000 to 20241231-2330\r\n - 50 m drive height: 20050101-0000 to 20241231-2330\r\n\r\nTimes are in UTC.\r\n\r\nThe 2 m level is limited to the whole years 2012–2024. Although the netCDF drive dataset has been configured to run with JULES, it should be straightforward to apply the data within it to other LSMs that can be run offline and forced by prescribed meteorology for a single point.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": "2025-04-29T01:57:47", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "land surface model, LSM, JULES, driving data, downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, specific humidity, Cardington, Met Office", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-28T11:07:45", "doiPublishedTime": "2025-04-28T11:25:43", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 43703, "dataPath": "/badc/ukmo-cardington/data/complete-collection/land-surface-derived", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 76819799, "numberOfFiles": 6, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12160, "startTime": "2005-01-01T00:00:00", "endTime": "2024-12-31T23:30:00" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43749, "uuid": "1f2d8d035fde4c24b5aec8b1a093ec66", "short_code": "comp", "title": "Met Office Cardington: Land surface model (LSM) meteorological driving data derivation", "abstract": "Joint UK Land Environment Simulator (JULES) is a community-developed land surface model (LSM) as used by the Met Office Unified Model for both weather and climate land surface representation.\r\n \r\nWe have compiled meteorological forcing datasets with a 30-min time step for the Cardington site to drive the JULES standalone LSM as a single point for the same period as the core archived files. JULES requires the following seven atmospheric input variables at every time step for it to able to run using prescribed meteorology: downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, and specific humidity. The drive dataset comprises a NetCDF file for each of the four drive heights (2, 10, 25 and 50 m), such that temperature, wind and humidity drive variables are taken from the different mast heights, and the pressure, radiation and rainfall remaining unchanged as they were only available from fixed levels i.e. pressure at 1.2 m, downwelling radiation at 4 m, upwelling radiation at 2 m, and rainfall at the surface. Due to the instrumentation deployed, the 2 m level drive data only available for 2012–2024. Only whole years are supplied in the forcing dataset. Although the NetCDF forcing dataset has been configured to run with JULES, it should be straightforward to apply the data within other LSMs that can be run offline and forced by prescribed meteorology for a single point\r\n \r\nThe datasets included here were all tested with version 7.4 of standalone JULES. An example use of running JULES using Cardington field data can be found in Osborne and Weedon (2021), wherein can be found soil and canopy properties for configuring JULES based on field data as an alternative to using operational model ancillary data.\r\n \r\nJULES is available to anyone for non-commercial use, free of charge. However, please note the JULES licence conditions, the JULES Fair Use and Publication Policy and the MOSRS user terms and conditions. The JULES source code is available from the Met Office Science Repository Service to authenticated users only.\r\n \r\nThe JULES forcing datasets included here are gap-filled where data are either missing or deemed unreliable to ensure that every time step is populated. Short gaps (≤3 h) were filled via linear interpolation; longer gaps were filled with the long-term (20-yr) mean values calculated from available measurements for each time step. The latter method of gap-filling ensures the preservation of daily and annual cycles. Each driving data variable has a simple flag to indicate whether gap filling has been applied, or not, at each time step. The driving dataset could potentially be used to apply an optional spin-up to the simulations, for example by repeatedly driving the LSM with the first two years of data so that the soil temperature and soil moisture reach stability." }, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 75704, 75705, 75706, 75707, 75708, 75709, 75710, 75711, 75712, 75713, 75714, 75715, 75716, 75717, 75718, 75719, 75720, 75721, 75722, 75723, 75724, 75725, 75726, 75727, 75728 ], "vocabularyKeywords": [], "identifier_set": [ 13349 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 208892, 208891, 208890, 208889, 208888, 208887, 208886, 208885, 208896, 208898 ], "onlineresource_set": [] }, { "ob_id": 43652, "uuid": "67ed591ff81f4d5c88df631faf1c9c7a", "title": "Abrasion chamber particle velocity data (mineral grain particle sizes D50 157-681 microns)", "abstract": "Data relate to the velocities of mineral particles achieved within a glass test-tube abrasion chamber. Particles are agitated by airflow in to the chamber. Particle median grain size (D50) ranged from 157 to 681 microns. Particle mass varied from 10 g to 100 g. Particle velocities were measured over a 2D vertical grid aligned through the long-axis of the chamber using a Dantec(TM) 2D Laser Doppler Anemometer mounted on a 2D programmable traverse. Data were collected to determine how mineral particle velocities achieved within the chamber compared to those in natural saltation clouds.\r\n\r\nThis data is part of the project NE/X00015X/1: Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows. The overall aim of this research is to understand the processes of microplastic entrainment and transport by wind and how these processes affect the material properties of microplastics. The knowledge gained will inform models for predicting land-atmosphere microplastic flux and distribution", "creationDate": "2025-03-18T14:46:24.411585", "lastUpdatedDate": "2025-03-18T14:46:24", "latestDataUpdateTime": "2025-05-10T01:56:12", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "particle velocity,aeolian abrasion,saltation,laser doppler anemometry", "publicationState": "citable", "nonGeographicFlag": true, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-10T07:48:20", "doiPublishedTime": "2025-04-10T08:36:47", "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 43896, "dataPath": "/badc/deposited2025/Abrasion_Chamber_Particle_Velocity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 157481720, "numberOfFiles": 31, "fileFormat": "badc-csv" }, "timePeriod": { "ob_id": 12167, "startTime": "2023-03-13T00:00:00", "endTime": "2025-04-10T07:39:47" }, "resultQuality": { "ob_id": 4687, "explanation": "The particle detection sensitivity in the LDA software was preset to 900 and 1100 mV respectively for the horizontal and vertical pairs of lasers, and gain was set to 10 dB for both, to isolate the ballistic sand particle motion from that associated with the production of any dust in the chamber. To ensure sufficient particle counts were acquired for further analysis, particle velocities were measured at each node for 5 seconds (typically samples where D50 ≤ 414 µm), 20 seconds (≥ 528 µm) or 1500 particle counts in total, which ever was reached first.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-18" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43653, "uuid": "7bda5e25e78b404aaf334ab35665ab84", "short_code": "acq", "title": "Acquisition for: Abrasion chamber particle velocity data (particle sizes d50 157-681 microns)", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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" } ] } } ], "projects": [ { "ob_id": 43609, "uuid": "f3eba22d26bd4a5aad91503a96d9478c", "short_code": "proj", "title": "Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows", "abstract": "The overall aim of this research is to understand the processes of microplastic entrainment and transport by wind and how these processes affect the material properties of microplastics. The knowledge gained will inform models for predicting land-atmosphere microplastic flux and distribution." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 86840, 86841, 86842, 86843, 86844, 86845, 86846, 86847, 86848, 86849, 86850 ], "vocabularyKeywords": [], "identifier_set": [ 13295 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209784, 208925, 208922, 208921, 208920, 208919, 208918, 208917, 208926, 208927, 208928 ], "onlineresource_set": [ 88874 ] }, { "ob_id": 43654, "uuid": "511a4ab3100b4010aab910b5fdaa7c4e", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on Suomi National Polar-orbiting Partnership (SNPP), level 3 collated (L3C) global product (2012-2024), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (SNPP). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening SNPP equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 19th January 2012 and continues until 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).", "creationDate": "2025-03-18T15:50:36.455915", "lastUpdatedDate": "2025-03-19T16:44:16", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).\r\n\r\nVIIRS L1C data are downloaded from LAADS DAAC (Level 1 Atmosphere Archive and Distribution System Distributed Active Archive Centre). These data are processed by the University of Leicester: data are reformatted then processed to LSTs on an orbit swath, regridded to an equal angle grid, and collated to daily day and night products at Level 3C.", "removedDataReason": "", "keywords": "Land Surface Temperature,VIIRS,Visible Infrared Imaging Radiometer Suite,soil,canopy", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-08-13T13:24:26", "doiPublishedTime": "2025-08-13T13:57:37", "removedDataTime": null, "geographicExtent": { "ob_id": 4716, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44705, "dataPath": "/neodc/esacci/land_surface_temperature/data/SNPP_VIIRS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8875573053286, "numberOfFiles": 9346, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12604, "startTime": "2012-01-19T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4688, "explanation": "For information on the data quality see the associated documentation.", "passesTest": true, "resultTitle": "EOCIS LST", "date": "2025-03-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43660, "uuid": "a645e1bd6a774a659c2019985df25f3b", "short_code": "cmppr", "title": "Composite process for ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on Suomi National Polar-orbiting Partnership (SNPP), level 3 collated (L3C) global product (2012-2024), version 1.00", "abstract": "This dataset was derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument on the Suomi National Polar-orbitingPartnership (SNPP) satellite. For more information, see the associated documentation." }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2558, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 30, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 33361, "uuid": "555149fdc3ef4e23a1de8ece93c29f5d", "short_code": "proj", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci)", "abstract": "The land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.\r\n\r\nThe team uses data from a variety of satellites to provide an accurate view of temperatures across land surfaces globally over the past +20 years. This involves developing innovative techniques to merge data from different satellites into combined long-term satellite records for climate. These will all be evaluated by scientists working at leading climate centres." }, { "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": [ 62778, 62779, 62780, 62781, 62790, 62791, 62792, 66303, 66305, 66307, 66308, 66310, 66311, 66312, 66751, 66753, 66754, 75122, 75123, 75124, 75125, 75126, 84150 ], "vocabularyKeywords": [], "identifier_set": [ 13496 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214567, 208936, 208935, 208934, 208933, 208932, 208931, 208930, 208950, 208951 ], "onlineresource_set": [ 88545, 94166 ] }, { "ob_id": 43656, "uuid": "c5545d7d3b7b405e8607afb8b2e581f2", "title": "Bermuda boundary Layer Experiment: Gas phase hydrogen chloride measurements from TILDAS instrument", "abstract": "This dataset contains hydrochloride concentration measurements from the University of York's Tunable Infrared Laser Direct Absorption Spectrometer (TILDAS). This instrument is situated on top of a 10-metre high tower at the Bermuda Institute of Ocean Sciences (BIOS) Tudor Hill Marine Atmospheric Observatory (THMAO) in Bermuda during the Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH) campaigns. The summer BLEACH campaign took place during June 2022 and the Winter BLEACH campaign took place during January/Febrauary 2023. \r\nTILDAS 1hz data have been averaged to hourly intervals, associated with the timestamp at the start of the hour, and filtered to exclude periods impacted by instrument issues and power outages. A background correction method has been applied to account for issues with background measurements.\r\nThese measurements will provide a quantitative observational constraint for the dependence of reactive halogen abundances on pollution levels, as well as allow us to assess the model's representation of the abundance and speciation of reactive halogens at a tropical, marine location and their interactions with one another.", "creationDate": "2025-03-19T14:14:15.577525", "lastUpdatedDate": "2025-03-19T14:16:55", "latestDataUpdateTime": "2025-03-28T01:55:16", "updateFrequency": "notPlanned", "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataReason": "", "keywords": "TILDAS,BLEACH,Bermuda", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-03-27T10:41:19", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4718, "bboxName": "", "eastBoundLongitude": -64.88, "westBoundLongitude": -64.88, "southBoundLatitude": 32.26, "northBoundLatitude": 32.26 }, "verticalExtent": null, "result_field": { "ob_id": 43665, "dataPath": "/badc/deposited2025/BLEACH_York_TILDAS_Bermuda/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 29680, "numberOfFiles": 4, "fileFormat": "badc-csv" }, "timePeriod": { "ob_id": 12171, "startTime": "2022-06-08T00:00:00", "endTime": "2023-02-11T00:00:00" }, "resultQuality": { "ob_id": 4689, "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": "2025-03-19" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43741, "uuid": "7c64f00e9fee4fe5b252d117fe8c414b", "short_code": "acq", "title": "University of York: Tunable Infrared Laser Direct Absorption Spectr ometer (TILDAS), designed by Aerodyne Research Inc (Billerica, MA, 01821, USA)", "abstract": "Bermuda boundary Layer Experiment on the Atmospheric Chemistr\r\ny of Halogens (BLEACH): Hydrogen chloride measurements from the University of Yor\r\nk Tunable Infrared Laser Direct Absorption Spectrometer (TILDAS) deployed at the\r\nBermuda Institute of Oceanic Sciences (BIOS) Tudor Hill Marine Atmospheric Observ\r\natory (THMAO)" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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" } ] } } ], "projects": [ { "ob_id": 43657, "uuid": "077cf64b85754665a915bf5d1529d783", "short_code": "proj", "title": "Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH)", "abstract": "The Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH) was a collaboration between the University of York, the University of California Los Angeles, the University of Washington and NOAA-CSL. BLEACH aimed to obtain an extensive dataset of gas and aerosol phase halogen species to further the understanding of reactive halogen chemistry occurring in the remote marine boundary layer." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 83878, 83883, 84672 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209007, 208944, 208943, 208942, 208941, 208940, 208939, 208938, 208945, 208946 ], "onlineresource_set": [ 88684 ] }, { "ob_id": 43661, "uuid": "5a3b2face5604687b5bb9fd32fe96461", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and nighttime NOAA-20 equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 5th January 2018 and continues to 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).", "creationDate": "2025-03-18T15:50:36.455915", "lastUpdatedDate": "2025-03-19T16:44:16", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).\r\n\r\nVIIRS L1C data are downloaded from LAADS DAAC (Level 1 Atmosphere Archive and Distribution System Distributed Active Archive Centre). These data are processed by the University of Leicester: data are reformatted then processed to LSTs on an orbit swath, regridded to an equal angle grid, and collated to daily day and night products at Level 3C.", "removedDataReason": "", "keywords": "Land Surface Temperature,VIIRS,Visible Infrared Imaging Radiometer Suite,soil,canopy", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-08-13T13:24:19", "doiPublishedTime": "2025-08-13T13:57:54", "removedDataTime": null, "geographicExtent": { "ob_id": 4716, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44704, "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA20_VIIRS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4813845377503, "numberOfFiles": 5097, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12605, "startTime": "2018-01-05T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4688, "explanation": "For information on the data quality see the associated documentation.", "passesTest": true, "resultTitle": "EOCIS LST", "date": "2025-03-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43664, "uuid": "e3a44a7d11054a7bacb119cd033a90d9", "short_code": "cmppr", "title": "Composite process for the ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00", "abstract": "This dataset was derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument on the NOAA-20 (National Oceanic and Atmospheric Administration) satellite. For more information, see the associated documentation." }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2558, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 30, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 33361, "uuid": "555149fdc3ef4e23a1de8ece93c29f5d", "short_code": "proj", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci)", "abstract": "The land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.\r\n\r\nThe team uses data from a variety of satellites to provide an accurate view of temperatures across land surfaces globally over the past +20 years. This involves developing innovative techniques to merge data from different satellites into combined long-term satellite records for climate. These will all be evaluated by scientists working at leading climate centres." }, { "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": [ 62778, 62779, 62780, 62781, 62790, 62791, 62792, 66303, 66305, 66307, 66308, 66310, 66311, 66312, 66751, 66753, 66754, 75122, 75123, 75124, 75125, 75126, 84150 ], "vocabularyKeywords": [], "identifier_set": [ 13497 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214568, 208962, 208961, 208960, 208959, 208958, 208957, 208956, 208963, 208964 ], "onlineresource_set": [ 88546, 94165 ] }, { "ob_id": 43667, "uuid": "a70dedb97d604856a810f2ef9801a883", "title": "EOCIS: CHUK Coastal Zone Water Colour (MSI) V1.0", "abstract": "This dataset contains CHUK Coastal Zone Water Colour data produced within the Earth Observation Climate Information Service (EOCIS) project. EOCIS Sentinel 2 Coastal Ocean Colour provides ocean colour data at the local scale with a resolution of 100 m. These data allow monitoring of coastal waters in finer detail and observations in estuaries, bays and lagoons. The Sentinel 2A and 2B satellites are used to create a combined product.", "creationDate": "2025-03-20T10:19:46.902595", "lastUpdatedDate": "2025-03-20T10:20:15", "latestDataUpdateTime": "2025-03-20T10:19:46", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced by Plymouth Marine Laboratory in the context of the Earth Observation Climate Information Service project.", "removedDataReason": "", "keywords": "CHUK, Coastal, Water Colour, Sentinel, estuaries, bays, lagoons, optical, chlorophyll, TSM, Reflectance, MSI, Optical Water Type", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4720, "bboxName": "", "eastBoundLongitude": 2.7, "westBoundLongitude": -11.5, "southBoundLatitude": 49.4, "northBoundLatitude": 61.3 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12176, "startTime": "2015-01-20T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4690, "explanation": "To be completed by Author", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43668, "uuid": "57f6b17618b14c2bb66b15dd2b5c4ce9", "short_code": "acq", "title": "Acquisition for: EOCIS: CHUK Coastal Zone Water Colour (MSI) V1.0", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "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": [ 215225, 208984, 208983, 208982, 208981, 208980, 208979, 208978, 208985, 217129, 217130 ], "onlineresource_set": [] }, { "ob_id": 43669, "uuid": "2a01faf75de64308b2bf4c7b43d393ef", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2024, v3.4.1.2024f", "abstract": "This is version v3.4.1.2024f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20250101_v3.4.1.2024f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-03-20T14:14:25", "updateFrequency": "notPlanned", "dataLineage": "HadISD the global sub-daily station dataset was produced by the Met Office Hadley Centre. It was derived from the Integrated Surface Dataset (ISD) from NOAA's National Climatic Data Center (NCDC). HadISD has been passed to the Centre for Environmental Data Analysis (CEDA) for archiving and distribution.", "removedDataReason": "", "keywords": "HadISD, temperature, dewpoint, pressure, wind, speed, direction, cloud, precipitation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-26T06:29:09", "doiPublishedTime": "2025-04-28T07:46:12.339579", "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": { "ob_id": 43673, "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-4-1-2024f/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 57206088098, "numberOfFiles": 9972, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12177, "startTime": "1931-01-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 3104, "explanation": "CF-Compliant NetCDF, see documentation for quality control processes used to produce these data. These data are quality controlled by the data provider, the Met Office Hadley Centre (MOHC) and not the Centre for Environmental Data Analysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2018-02-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 20043, "uuid": "32eff53af32442d1a347da2cc45bb9db", "short_code": "comp", "title": "HadISD station data processing performed at the Met Office Hadley Centre", "abstract": "The HadISD station data were produced by the Met Office Hadley Centre. Individual station data within the ISD were selected selected on the basis of their length of record and reporting frequency. A merging algorithm using their location, elevation and station name identified candidates suitable to combine together. All stations were passed through a suite of automated quality control tests designed to remove bad data whilst keeping the extremes. None of the ISD flags were used in this process. The QC tests focussed on the temperature, dewpoint temperature and sea-level pressure variables, although some were applied to the wind speed and direction and cloud data. The data files also contain other variables which were pulled through from the raw ISD record, but have had no QC applied (e.g. cloud base and precipitation depth). \r\n\r\nNotes:\r\n1. These data have not yet been homogenised and so trend fitting should be undertaken with caution. The homogeneity has been assessed and results are available from the Met Office Hadley Centre HadISD website: http://www.metoffice.gov.uk/hadobs/hadisd/. \r\n2. A long-standing bug (affecting versions v2.0.2_2017p through to v3.3.0.2022f), was discovered in autumn 2023 whereby the neighbour checks (and associated [un]flagging for some other tests) were not being implemented. This was corrected for the later version v3.4.0.2023f to HadISD. For more details see the posts on the HadISD blog: https://hadisd.blogspot.com/2023/10/bug-in-buddy-checks.html & https://hadisd.blogspot.com/2024/01/hadisd-v3402023f-future-look.html(v2.0.2_2017p through to v3.3.0.2022f), and as noted this has been fixed for v3.4.02023f.\r\n\r\n\r\nFor further details see: \r\nDunn, R. J. H., et al., (2016), Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, and Dunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations\r\nfrom 1973-2011, Climate of the Past.\r\nDunn, R. J. H., et al. (2014), Pairwise Homogeneity Assessment of HadISD, Climate of the Past, 10, 1501-1522 (see Docs for links to publications)." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2561, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 32, "licenceURL": "http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/", "licenceClassifications": [ { "ob_id": 6, "classification": "personal" }, { "ob_id": 4, "classification": "academic" }, { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. 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Individual stations within the ISD were composited when it was appropriate to do so to improve the coverage.\r\n \r\nHadISD is a multi-variate dataset, where the following fields are available: temperature, dewpoint temperature, sea-level pressure, wind speed, wind direction and cloud data (total, low, mid and high levels). These variables are all quality controlled using an automatic suite of tests, the code for which is available on request. The QC tests were designed to remove bad data whilst keeping true extremes. 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CO_ULIRS uses an optimal estimation approach to derive carbon monoxide total column amounts from IASI spectra using the University of Leicester IASI Retrieval Scheme (ULIRS).", "creationDate": "2025-03-20T15:22:44.760551", "lastUpdatedDate": "2025-05-09T15:26:01", "latestDataUpdateTime": "2025-06-13T10:53:26", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced by University of Leicester in the context of the Earth Observation Climate Information Service project.", "removedDataReason": "", "keywords": "CO_ULIRS,IASI,MetOp,Carbon Monoxide,EOCIS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-07-10T09:37:52", "doiPublishedTime": "2025-07-10T09:40:33", "removedDataTime": null, "geographicExtent": { "ob_id": 4721, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44507, "dataPath": "/neodc/eocis/data/global_and_regional/CO_total_column", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3440132141632, "numberOfFiles": 4189, "fileFormat": "Files are NetCDF formatted." }, "timePeriod": { "ob_id": 12381, "startTime": "2013-06-18T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4691, "explanation": "Please see attached documentation for details.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44592, "uuid": "035b92bb2c1547428b703a0e6d7f21a7", "short_code": "cmppr", "title": "EOCIS: Total Column CO Product, V1.0", "abstract": "This dataset was generated from the instrument and computations as detailed below." }, "imageDetails": [ 233 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "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": [ 50542, 50543, 63576, 68624, 68626, 68636, 68637, 68640, 84456, 84457, 84458, 84459, 84460, 84461, 84462, 84463, 84464, 84465, 84466, 84467, 84468, 84469, 84470, 84471, 84472, 84473, 84474, 84475, 84476 ], "vocabularyKeywords": [], "identifier_set": [ 13443 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 213226, 209005, 209004, 209003, 209002, 209001, 209000, 208999, 213337 ], "onlineresource_set": [ 93803, 93872 ] }, { "ob_id": 43676, "uuid": "e75de035395f48dbbb43f1a190406632", "title": "Met Office Cardington: 5 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 5 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Cardington, Met Office, observation, turbulence, wind speed, wind direction, boundary layer, temperature, relative humidity, upwelling, shortwave, longwave, radiative flux, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, flux tower, surface, subsurface, measurement", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-08-19T14:25:17", "doiPublishedTime": "2025-08-19T14:25:43", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44808, "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/05min-averages", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8380222010, "numberOfFiles": 7525, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12148, "startTime": "2004-06-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). 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The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50510, 63667, 75852, 81111, 81112, 81113, 81114, 81115, 81116, 81117, 81118, 81119, 81120, 81121, 81122, 81123, 81124, 81125, 81126, 81127, 81128, 81129, 81130, 81131, 81132, 81133, 81134, 81135, 81136, 81137, 81138, 81139, 81140, 81141, 81142, 81143, 81144, 81145, 81146, 81147, 81148, 81149, 81150, 81151, 81152, 81153, 81154, 81155, 81156, 81157, 81158, 81160, 81161, 81162, 81164, 81165, 81166, 81167, 81168, 81171, 81172, 81173, 81174, 81175, 81177, 81179, 81180, 81181, 81183, 81185, 81186, 81189, 81191, 81193, 81194, 81196, 81199, 81201, 81202, 81204, 81205, 81206, 81207, 81209, 81210, 81212, 81214, 81218, 81220, 81223, 81224, 81226, 81228, 81230, 81231, 81233, 81235, 81236, 81237, 81239, 81240, 81242, 81244, 81247, 81248, 81249, 81250, 81252, 81253, 81255, 81257, 81259, 81261, 81263, 81264, 81266, 81268, 81269, 81270, 81271, 81273, 81274, 81277, 81279, 81281, 81284, 81286, 81288, 81290, 81291, 81293, 81296, 81298, 81299, 81300, 81302, 81303, 81305, 81307, 81309, 81310, 81312, 81314, 81316, 81318, 81336, 81339, 81340, 81341, 81342, 81343, 81344, 81345, 81346, 81347, 81348, 81349, 81350, 81351, 81352, 81353, 81354, 81355, 81356, 81357, 81358, 81359, 81360, 81361, 81362, 81363, 81364, 81365, 81366, 81367, 81368, 81369, 81370, 81371, 81372, 81373, 81374, 81375, 81376, 81377, 81378, 81379, 81380, 81381, 81382, 81383, 81384, 81385, 81386, 81387, 81388, 81389, 81390, 81391, 81392, 81393, 81394, 81395, 81396, 81397, 81398, 81399, 81400, 81401, 81402, 81403, 81404, 81405, 81406, 81407, 81408, 81409, 81410, 81411, 81412, 81413, 85744, 85752, 85754, 85769, 89420, 89421, 89422, 89424, 89426, 89427, 89430, 89431, 89432, 89433, 89434, 89435, 89436, 89437, 89438, 89439, 89440, 89441, 89442, 89443, 89444, 89445, 89446, 89447, 89448, 89449, 89450, 89451, 89452, 89453, 89454, 89455, 89456, 89457, 89458, 89459, 89460, 89461, 89462, 89463, 89464, 89465, 89466, 89467, 89476, 89477, 89478, 89479, 92139, 92140 ], "vocabularyKeywords": [], "identifier_set": [ 13513 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 209022, 209021, 209020, 209019, 209018, 209017, 209016, 209015, 209024, 209023, 209025, 209026, 209027 ], "onlineresource_set": [] }, { "ob_id": 43677, "uuid": "27dfc610944446a6a7862c97f93325a6", "title": "Met Office Cardington: 10 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 10-minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 10 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 10 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Cardington, Met Office, observation, turbulence, wind speed, wind direction, boundary layer, temperature, relative humidity, upwelling, shortwave, longwave, radiative flux, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, flux tower, surface, subsurface, measurement", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-08-19T14:14:08", "doiPublishedTime": "2025-08-19T14:14:22", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44809, "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/10min-averages", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7734662427, "numberOfFiles": 7525, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12148, "startTime": "2004-06-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43675, "uuid": "7aacb65e38dc4231a9af98f849c131fb", "short_code": "acq", "title": "Met Office Cardington surface Measurements 2, 10, 25 and 50 m masts", "abstract": "Met Office Cardington surface Measurements 2, 10, 25 and 50 m masts" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50510, 63667, 75852, 81111, 81112, 81113, 81114, 81115, 81116, 81117, 81118, 81119, 81120, 81121, 81122, 81123, 81124, 81125, 81126, 81127, 81128, 81129, 81130, 81131, 81132, 81133, 81134, 81135, 81136, 81137, 81138, 81139, 81140, 81141, 81142, 81143, 81144, 81145, 81146, 81147, 81148, 81149, 81150, 81151, 81152, 81153, 81154, 81155, 81156, 81157, 81158, 81160, 81161, 81162, 81164, 81165, 81166, 81167, 81168, 81171, 81172, 81173, 81174, 81175, 81177, 81179, 81180, 81181, 81183, 81185, 81186, 81189, 81193, 81194, 81196, 81199, 81201, 81202, 81204, 81205, 81206, 81207, 81209, 81210, 81212, 81214, 81218, 81220, 81223, 81224, 81226, 81228, 81230, 81231, 81233, 81235, 81236, 81237, 81239, 81240, 81244, 81247, 81248, 81249, 81250, 81252, 81253, 81255, 81257, 81259, 81261, 81263, 81264, 81266, 81268, 81269, 81270, 81271, 81273, 81274, 81277, 81279, 81281, 81284, 81286, 81288, 81290, 81291, 81293, 81296, 81298, 81299, 81300, 81302, 81303, 81305, 81307, 81309, 81310, 81312, 81314, 81316, 81318, 81336, 81339, 81340, 81341, 81342, 81343, 81344, 81345, 81346, 81347, 81348, 81349, 81350, 81351, 81352, 81353, 81354, 81355, 81356, 81357, 81358, 81359, 81360, 81361, 81362, 81363, 81364, 81365, 81366, 81367, 81368, 81369, 81370, 81371, 81372, 81373, 81374, 81375, 81376, 81377, 81378, 81379, 81380, 81381, 81382, 81383, 81384, 81385, 81386, 81387, 81388, 81389, 81390, 81391, 81392, 81393, 81394, 81395, 81396, 81397, 81398, 81399, 81400, 81401, 81402, 81403, 81404, 81405, 81406, 81407, 81408, 81409, 81410, 81411, 81412, 81413, 85744, 85752, 85754, 85769, 89420, 89421, 89422, 89423, 89424, 89425, 89426, 89427, 89428, 89429, 89430, 89431, 89432, 89433, 89434, 89435, 89436, 89437, 89438, 89439, 89440, 89441, 89442, 89443, 89444, 89445, 89446, 89447, 89448, 89449, 89450, 89451, 89452, 89453, 89454, 89455, 89456, 89457, 89458, 89459, 89460, 89461, 89462, 89463, 89464, 89465, 89466, 89467, 89468, 89469, 89470, 89471, 89472, 89473, 89474, 89475, 89476, 89477, 89478, 89479, 89480, 89481, 89482, 89483, 89484, 89485, 89486, 89487, 89488, 89489, 89490, 89491, 89492, 89493, 89494, 89495, 89496, 89497, 89498, 89499, 89500, 89501, 89502, 89503, 89504, 89505, 89506, 89507, 89508, 89509, 89510, 89511, 89512, 89513 ], "vocabularyKeywords": [], "identifier_set": [ 13511 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 209035, 209034, 209033, 209032, 209031, 209030, 209029, 209028, 209037, 209036, 209038, 209039, 209040 ], "onlineresource_set": [] }, { "ob_id": 43678, "uuid": "1f92b91149704c4bb5048300615a1945", "title": "Met Office Cardington: 30 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 30 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 30 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 30 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "creationDate": "2025-03-10T19:40:41.194943", "lastUpdatedDate": "2025-03-10T19:35:02", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataReason": "", "keywords": "Cardington, Met Office, observation, turbulence, wind speed, wind direction, boundary layer, temperature, relative humidity, upwelling, shortwave, longwave, radiative flux, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, flux tower, surface, subsurface, measurement", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-08-19T14:20:29", "doiPublishedTime": "2025-08-19T14:21:06", "removedDataTime": null, "geographicExtent": { "ob_id": 39, "bboxName": "Met Office Cardington site", "eastBoundLongitude": -0.42161, "westBoundLongitude": -0.42161, "southBoundLatitude": 52.10469, "northBoundLatitude": 52.10469 }, "verticalExtent": null, "result_field": { "ob_id": 44810, "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/30min-averages/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7271489091, "numberOfFiles": 7525, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12148, "startTime": "2004-06-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4680, "explanation": "Data are as given by the data provider. Please see Osborne et al., (2025) for a description of quality control and assurance applied (see online resources). No quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "Cardington long-term dataset collection", "date": "2025-03-14" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43675, "uuid": "7aacb65e38dc4231a9af98f849c131fb", "short_code": "acq", "title": "Met Office Cardington surface Measurements 2, 10, 25 and 50 m masts", "abstract": "Met Office Cardington surface Measurements 2, 10, 25 and 50 m masts" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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" } ] } } ], "projects": [ { "ob_id": 20010, "uuid": "d47d61d3f3cc4733bf8004579d59b26c", "short_code": "proj", "title": "Met Office Meteorological Research Unit, Cardington", "abstract": "The Met Office's research group at the Met Office Cardington site have studied boundary-layer meteorology and surface processes to support the development of numerical weather prediction methods since the 1990s until its closure in 2024. The effectiveness of these methods is critically dependent on access to and analysis of high-quality observational data sets. These are used in a number of ways including the development of physical parameterization schemes and in the evaluation of numerical model output. The site has produced a range of datasets over the years including a continuous hydrometeorological record between 2004 to 2024 including surface to 50-m meteorology, radiation and subsoil from in-situ sensor measurements timed at 1, 5, 10 and 30 minute intervals. Specialist remote-sensing instruments include microwave radiometers, Halo Doppler lidars, and ceilometers, in addition to radiosonde data.\r\n\r\nThe Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement or the Open Government Licence. For further details of these datasets see the links to this record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50510, 63667, 75852, 81111, 81112, 81113, 81114, 81115, 81116, 81117, 81118, 81119, 81120, 81121, 81122, 81123, 81124, 81125, 81126, 81127, 81128, 81129, 81130, 81131, 81132, 81133, 81134, 81135, 81136, 81137, 81138, 81139, 81140, 81141, 81142, 81143, 81144, 81145, 81146, 81147, 81148, 81149, 81150, 81151, 81152, 81153, 81154, 81155, 81156, 81157, 81158, 81160, 81161, 81162, 81164, 81165, 81166, 81167, 81168, 81171, 81172, 81173, 81174, 81175, 81177, 81179, 81180, 81181, 81183, 81185, 81186, 81189, 81191, 81193, 81194, 81196, 81199, 81201, 81202, 81204, 81205, 81206, 81207, 81209, 81210, 81212, 81214, 81218, 81220, 81223, 81224, 81226, 81228, 81230, 81231, 81233, 81235, 81236, 81237, 81239, 81240, 81242, 81244, 81247, 81248, 81249, 81250, 81252, 81253, 81255, 81257, 81259, 81261, 81263, 81264, 81266, 81268, 81269, 81270, 81271, 81273, 81274, 81277, 81279, 81281, 81284, 81286, 81288, 81290, 81291, 81293, 81296, 81298, 81299, 81300, 81302, 81303, 81305, 81307, 81309, 81310, 81312, 81314, 81316, 81318, 81336, 81339, 81340, 81341, 81342, 81343, 81344, 81345, 81346, 81347, 81348, 81349, 81350, 81351, 81352, 81353, 81354, 81355, 81356, 81357, 81358, 81359, 81360, 81361, 81362, 81363, 81364, 81365, 81366, 81367, 81368, 81369, 81370, 81371, 81372, 81373, 81374, 81375, 81376, 81377, 81378, 81379, 81380, 81381, 81382, 81383, 81384, 81385, 81386, 81387, 81388, 81389, 81390, 81391, 81392, 81393, 81394, 81395, 81396, 81397, 81398, 81399, 81400, 81401, 81402, 81403, 81404, 81405, 81406, 81407, 81408, 81409, 81410, 81411, 81412, 81413, 85744, 85752, 85754, 85769, 89420, 89421, 89422, 89424, 89426, 89427, 89430, 89431, 89432, 89433, 89434, 89435, 89436, 89437, 89438, 89439, 89440, 89441, 89442, 89443, 89444, 89445, 89446, 89447, 89448, 89449, 89450, 89451, 89452, 89453, 89454, 89455, 89456, 89457, 89458, 89459, 89460, 89461, 89462, 89463, 89464, 89465, 89466, 89467, 89468, 89469, 89470, 89471, 89472, 89473, 89474, 89475, 89476, 89477, 89478, 89479, 89481, 89482, 89484, 89485, 89486, 89487, 89488, 89489, 89490, 89491, 89492, 89496, 89497, 89498, 89499, 89501, 89502, 89503, 89504, 89506, 89507, 89508, 89509, 89510, 89512, 89513, 92139, 92140, 92211, 92212, 92213, 92214, 92215, 92216, 92217, 92218, 92219, 92220, 92221, 92222 ], "vocabularyKeywords": [], "identifier_set": [ 13512 ], "observationcollection_set": [ { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection." } ], "responsiblepartyinfo_set": [ 209048, 209047, 209046, 209045, 209044, 209043, 209042, 209041, 209050, 209049, 209051, 209052, 209053 ], "onlineresource_set": [] }, { "ob_id": 43685, "uuid": "7746b6b9a5b044ddbc0d2a172b9a8b5f", "title": "WOEST: Scan data from the NCAS mobile X-band radar unit 1 deployed at MOD Lyneham, v1.0.0 (20230525-20230908)", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's mobile X-band radar unit 1 deployed at MOD Lyneham, near Swindon, Wiltshire, UK (51.5071N, -2.00547E) from May to September 2023. These observations were taken as part of the WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230525 and 20230908.\r\n\r\nData products from this deployment include: volume scans (vol) and vertical cross sections (rhi). The radar performed two sets of volume scans, alternating approximately every 5 minutes, using different parameters for targeting the boundary layer and clouds. Following the volume scans the radar performed a single vertical cross-section. The whole cycle repeated every 10 minutes. \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": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-05-16T01:56:58", "updateFrequency": "notPlanned", "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataReason": "", "keywords": "NCAS, AMOF, radar, precipitation, rainfall, WOEST, WesCon, radar, clouds, storms, convection, dynamics, Doppler, dual-polarisation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T11:50:47", "doiPublishedTime": "2025-05-15T13:12:08.893907", "removedDataTime": null, "geographicExtent": { "ob_id": 4724, "bboxName": "NCAS-Mobile-X-band-radar-1 for WOEST", "eastBoundLongitude": -0.58, "westBoundLongitude": -3.43, "southBoundLatitude": 50.62, "northBoundLatitude": 52.39 }, "verticalExtent": null, "result_field": { "ob_id": 43686, "dataPath": "/badc/ncas-mobile/data/ncas-mobile-x-band-radar-1/20230525_woest/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2212414678710, "numberOfFiles": 44022, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12387, "startTime": "2023-05-25T00:00:00", "endTime": "2023-09-08T23:59:59" }, "resultQuality": { "ob_id": 3233, "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": "2019-01-30" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43719, "uuid": "a9ea7a4d0c0742908eb256ac3134af30", "short_code": "acq", "title": "NCAS X-band Radar 1 at MOD Lyneham for WOEST", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's mobile X-band radar unit 1 during the Wessex convection experiment Observing the Evolving Structures of Turbulence (WOEST) project." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43720, "uuid": "d3685300168848f290dd3a9ec14cc8ac", "short_code": "proj", "title": "Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "This project, WesCon - Observing the Evolving Structures of Turbulence (WOEST), complements the Met Office's Wessex Convection Experiment (WesCon) project by enabling frequent observations of the same turbulent structures at high resolution. In terms of moist convective turbulence, WOEST will radically advance observations of cloud dynamics by tracking precipitating cores of convective clouds and the turbulent regions embedded within them in real-time using four dual-polarisation Doppler radars. The radar scans will also be coordinated with the FAAM aircraft location to enable coincident observations. In terms of boundary-layer turbulence and variability, their evolution will be captured uniquely by multiple UAS, which will be coordinated to capture hourly profiles of temperature, humidity, and winds to study the small-scale variability in the lowest 2km of the atmosphere. Additionally, an array of cloud cameras will be used to reconstruct the 3D motion and evolution of boundary-layer clouds, to be related to the turbulent and dynamic evolution of the boundary layer as measured by remote sensing instruments such as lidar (to measure cloud bases and humidity profiles) and wind profilers.\r\n\r\nThe observations gathered in WOEST will capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales. Our multi-instrument approach will enable us to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influence moist convective turbulence at a range of scales, including at the process-level relating turbulence to the strength and size of updrafts. This will lead to a new understanding of the variability and evolution of the boundary layer in the context of the surrounding cloud field and the variability of turbulence and cloud dynamics. Such insights should lead to significant improvements within the sub-grid turbulence parametrisations that allow both km-scale global weather and climate simulations and sub-km-scale regional weather forecasts to more accurately predict the evolution and intensity of hazardous convective storms." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10621, 59111, 59112, 59113, 59115, 59127, 59128, 59129, 59130, 59131, 59132, 59133, 59134, 59135, 59136, 59137, 59138, 59139, 59140, 59141, 59143, 59144, 59145, 59146, 59147, 59148, 59149, 59150, 59151, 59152, 59153, 59154, 59155, 59156, 59157, 59160, 59161, 59162, 59163, 59164, 59165, 59168, 59169, 59172, 59174, 59175, 59181, 59182, 59183, 59184, 59185, 59188, 59191, 59192, 59193, 59194, 59197, 59198, 59199, 59200, 59202, 59212, 60930, 60931, 60932, 60933, 60934, 60938, 69325, 69327, 69330, 69331, 69332, 69333, 69334, 69335, 69336, 69337, 74661, 74662, 74663, 74664, 74665, 74666, 74667, 74668, 74669, 74670, 74671, 74672, 74673, 74674, 74675, 74676, 74677, 74678, 74679, 74680, 74681, 74682, 74683, 74684, 74685, 74686, 74687, 74688, 74689, 74690, 74691, 74692, 74693, 74694, 74695, 74696, 74697, 74698, 74699, 74700, 74701, 74702, 74703, 74704, 74705, 74706, 74707, 74708, 74709, 74710, 74711, 74712, 74713, 74714, 74715 ], "vocabularyKeywords": [], "identifier_set": [ 13385 ], "observationcollection_set": [ { "ob_id": 43875, "uuid": "36756ff1928f4a1684902b470cda774e", "short_code": "coll", "title": "Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "A collection of groundbased and airborne datasets gathered to capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales for the Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) project during summer 2023. This multi-instrument collection is used to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influences moist convective turbulence at a range of scales." } ], "responsiblepartyinfo_set": [ 209081, 209080, 209079, 209078, 209077, 209076, 209075, 209082 ], "onlineresource_set": [ 88662 ] }, { "ob_id": 43699, "uuid": "d0dc84a59bad4e7d8ed4d578c51bf43e", "title": "EOCIS: All Surface Temperature, V1.00", "abstract": "This dataset contains All Surface Temperature data produced within the Earth Observation Climate Information Service (EOCIS) project. The All Surface Temperature data are suitable for different uses such as: Urban Heat Islands (surface changes in Urban Heat Islands are well captured), Vegetation Changes (change is captured at the temporal resolution of 100 m), Water Bodies and Evapotranspiration (indirectly represented through dynamic vegetation at 100 m), Atmospheric Conditions (surface temperature retrievals utilise atmospheric correction techniques meaning that the data is well adapted to atmospheric conditions, and Land cover changes (directly captured in both the surface temperature and surface emissivity).", "creationDate": "2025-03-21T15:22:30.632868", "lastUpdatedDate": "2025-03-21T15:22:45", "latestDataUpdateTime": "2025-03-21T15:22:30", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced by the University of Leicester in the context of the Earth Observation Climate Information Service project.", "removedDataReason": "", "keywords": "Surface,Temperature,Heat,Urban,Vegetation,Water,Evapotranspiration,Atmospheric,Land,emissivity,EOCIS", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4723, "bboxName": "", "eastBoundLongitude": 2.7, "westBoundLongitude": -11.5, "southBoundLatitude": 49.4, "northBoundLatitude": 61.3 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12180, "startTime": "2018-01-01T00:00:00", "endTime": "2022-12-31T00:00:00" }, "resultQuality": { "ob_id": 4692, "explanation": "To be completed by the author", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "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": [ 209129, 209128, 209127, 209126, 209125, 209124, 209123 ], "onlineresource_set": [] }, { "ob_id": 43718, "uuid": "5d4b5405b2c94baabf00ad17dbfefcb8", "title": "Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA): NCAS Doppler Aerosol Lidar unit 1 deployed onboard Swedish Maritime Administration Icebreaker Oden, v1.0", "abstract": "doppler lidar scan data from NCAS Doppler Aerosol Lidar unit 1 deployed onboard Swedish Maritime Administration Icebreaker Oden. These observations were taken as part of Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA).\n\nData products from this deployment include: aerosol-backscatter-radial-winds\n ", "creationDate": "2025-03-26T13:46:54.465866", "lastUpdatedDate": "2025-03-26T13:46:54.465889", "latestDataUpdateTime": "2025-03-26T13:46:54.465898", "updateFrequency": "notPlanned", "dataLineage": "Data were processed and preparation 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": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4551, "bboxName": "Arctic, Sweden, Norway", "eastBoundLongitude": 15.6301, "westBoundLongitude": 8.00482, "southBoundLatitude": 82.2072, "northBoundLatitude": 77.9799 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12183, "startTime": "2018-08-01T00:00:36", "endTime": "2018-09-20T09:32:21" }, "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": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209172, 209171, 209170, 209169, 209168, 209167 ], "onlineresource_set": [] }, { "ob_id": 43721, "uuid": "0affc94eb312459e840d957d4401018e", "title": "WOEST: Scan data from the NCAS mobile X-band radar unit 2 deployed at from Chilbolton Atmospheric Observatory, v1.0.0 (20230525-20230913)", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's mobile X-band radar unit 2 deployed at Chilbolton Atmospheric Observatory, near Andover, Hampshire, UK from May to September 2023. These observations were taken as part of the (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) project between 20230525 and 20230913.\r\n\r\nData products from this deployment include: volume scans (vol) and vertical cross sections (rhi). The radar performed two sets of volume scans, alternating approximately every 5 minutes, using different parameters for targeting the boundary layer and clouds. Following the volume scans the radar performed a single vertical cross-section. The whole cycle repeated every 10 minutes. \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": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-05-16T02:00:53", "updateFrequency": "notPlanned", "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataReason": "", "keywords": "NCAS, AMOF, radar, precipitation, rainfall, WOEST, WesCon, radar, clouds, storms, convection, dynamics, Doppler, dual-polarisation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T11:58:08", "doiPublishedTime": "2025-05-15T13:13:11.538242", "removedDataTime": null, "geographicExtent": { "ob_id": 4725, "bboxName": "NCAS X-Band Radar 2 for WOEST", "eastBoundLongitude": -0.03, "westBoundLongitude": -2.85, "southBoundLatitude": 50.26, "northBoundLatitude": 52.03 }, "verticalExtent": null, "result_field": { "ob_id": 43722, "dataPath": "/badc/ncas-mobile/data/ncas-radar-x-band-2/20230525_woest/v1.0.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2041828389830, "numberOfFiles": 47126, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12185, "startTime": "2023-05-25T00:00:00", "endTime": "2023-09-13T23:59:59" }, "resultQuality": { "ob_id": 3233, "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": "2019-01-30" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43723, "uuid": "cd0aadd40b2e4dfdabdcb4af635e8d1d", "short_code": "acq", "title": "NCAS X-band Radar 2 at Chilbolton Atmospheric Observatory for WOEST", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's X-band radar unit 2 during the Wessex convection experiment Observing the Evolving Structures of Turbulence (WOEST) project." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 223 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43720, "uuid": "d3685300168848f290dd3a9ec14cc8ac", "short_code": "proj", "title": "Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "This project, WesCon - Observing the Evolving Structures of Turbulence (WOEST), complements the Met Office's Wessex Convection Experiment (WesCon) project by enabling frequent observations of the same turbulent structures at high resolution. In terms of moist convective turbulence, WOEST will radically advance observations of cloud dynamics by tracking precipitating cores of convective clouds and the turbulent regions embedded within them in real-time using four dual-polarisation Doppler radars. The radar scans will also be coordinated with the FAAM aircraft location to enable coincident observations. In terms of boundary-layer turbulence and variability, their evolution will be captured uniquely by multiple UAS, which will be coordinated to capture hourly profiles of temperature, humidity, and winds to study the small-scale variability in the lowest 2km of the atmosphere. Additionally, an array of cloud cameras will be used to reconstruct the 3D motion and evolution of boundary-layer clouds, to be related to the turbulent and dynamic evolution of the boundary layer as measured by remote sensing instruments such as lidar (to measure cloud bases and humidity profiles) and wind profilers.\r\n\r\nThe observations gathered in WOEST will capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales. Our multi-instrument approach will enable us to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influence moist convective turbulence at a range of scales, including at the process-level relating turbulence to the strength and size of updrafts. This will lead to a new understanding of the variability and evolution of the boundary layer in the context of the surrounding cloud field and the variability of turbulence and cloud dynamics. Such insights should lead to significant improvements within the sub-grid turbulence parametrisations that allow both km-scale global weather and climate simulations and sub-km-scale regional weather forecasts to more accurately predict the evolution and intensity of hazardous convective storms." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10621, 59111, 59112, 59113, 59115, 59127, 59128, 59129, 59130, 59131, 59132, 59133, 59134, 59135, 59136, 59137, 59138, 59139, 59140, 59141, 59143, 59144, 59145, 59146, 59147, 59148, 59149, 59150, 59151, 59152, 59153, 59154, 59155, 59156, 59157, 59160, 59161, 59162, 59163, 59164, 59165, 59168, 59169, 59172, 59174, 59175, 59181, 59182, 59183, 59184, 59185, 59188, 59191, 59192, 59193, 59194, 59197, 59198, 59199, 59200, 59202, 59212, 60930, 60931, 60932, 60933, 60934, 60938, 69325, 69327, 69330, 69331, 69332, 69333, 69334, 69335, 69336, 69337, 74661, 74662, 74663, 74664, 74665, 74666, 74667, 74668, 74669, 74670, 74671, 74672, 74673, 74674, 74675, 74676, 74677, 74678, 74679, 74680, 74681, 74682, 74683, 74684, 74685, 74686, 74687, 74688, 74689, 74690, 74691, 74692, 74693, 74694, 74695, 74696, 74697, 74698, 74699, 74700, 74701, 74702, 74703, 74704, 74705, 74706, 74707, 74708, 74709, 74710, 74711, 74712, 74713, 74714, 74715 ], "vocabularyKeywords": [], "identifier_set": [ 13386 ], "observationcollection_set": [ { "ob_id": 43875, "uuid": "36756ff1928f4a1684902b470cda774e", "short_code": "coll", "title": "Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "A collection of groundbased and airborne datasets gathered to capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales for the Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) project during summer 2023. This multi-instrument collection is used to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influences moist convective turbulence at a range of scales." } ], "responsiblepartyinfo_set": [ 209186, 209185, 209184, 209183, 209182, 209181, 209180, 209179 ], "onlineresource_set": [ 88676 ] }, { "ob_id": 43733, "uuid": "4cbd9c53ab07497ba42de5043d1f414b", "title": "Synthetic Hourly Air Pollution Prediction Averages for England (SynthHAPPE)", "abstract": "This dataset contains synthetic estimates of ambient air pollution concentrations across England, provided as hourly averages representing typical conditions. The data cover major pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km^2). Data points correspond to the centre of these grid squares. Temporally, the dataset does not represent actual hourly measurements from specific dates; instead, it provides aggregated \"typical day\" profiles constructed by averaging observations collected from multiple years (2014-2018) for each month, weekday, and hour. This method offers representative insights into typical air pollution patterns, avoiding the complexity of handling large-scale raw datasets.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThe dataset was developed to facilitate easier access to high-quality air pollution information for diverse stakeholders, such as researchers, policymakers, urban planners, and health professionals. By providing clear, simplified air quality scenarios, it helps users make informed decisions in urban planning, public health, environmental management, and policy development, as well as to assess potential impacts and interventions related to air pollution.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. For more information about the data, see the README.md archived alongside this dataset.\r\n\r\nIn terms of completeness, this dataset intentionally provides representative hourly pollution estimates rather than exact historical measurements or specific pollution events. While it extensively covers typical pollution scenarios across England, direct measurements from specific air quality monitoring stations are not included. Users requiring detailed historical observations or data about specific events should refer to original monitoring station datasets.", "creationDate": "2025-03-27T09:02:47.834788", "lastUpdatedDate": "2025-03-27T09:02:47", "latestDataUpdateTime": "2025-04-07T15:52:14", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced through a research initiative at the University of Exeter. It was created using a supervised machine learning model-a type of artificial intelligence that learns patterns from existing data and applies those patterns to predict unknown values. Historical data from ambient air pollution monitoring stations across England were used to train the machine learning model. Input data included meteorological factors (such as wind speed and temperature), traffic activity levels, land-use information, satellite-based measurements, and emissions data. After the initial creation of hourly air pollution predictions, these data were aggregated to generate representative \"typical day\" hourly averages for each month and weekday. Predictions were validated for accuracy and reliability, with uncertainty intervals (5th, 50th, and 95th percentiles) calculated to indicate confidence in the estimates.", "removedDataReason": "", "keywords": "Ambient Air Quality,England,Nitrogen Dioxide,Nitrogen Oxides,Ozone,Particulate Matter,Sulphur Dioxide,Machine Learning,Air Pollution Scenarios,AI", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-09T14:47:19", "doiPublishedTime": "2025-04-09T14:47:36", "removedDataTime": null, "geographicExtent": { "ob_id": 4726, "bboxName": "", "eastBoundLongitude": 1.76, "westBoundLongitude": -5.72, "southBoundLatitude": 49.96, "northBoundLatitude": 55.81 }, "verticalExtent": null, "result_field": { "ob_id": 43888, "dataPath": "/badc/deposited2025/SynthHAPPE", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 296159688875, "numberOfFiles": 4034, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12206, "startTime": "2014-01-01T00:00:00", "endTime": "2018-12-31T00:00:00" }, "resultQuality": { "ob_id": 4698, "explanation": "The quality of this dataset was ensured through rigorous validation and uncertainty quantification practices. The data were generated using supervised machine learning methods, which involved comprehensive testing and validation against real-world measurements from official ambient air quality monitoring stations across England. Quality assessments included comparisons between predicted concentrations and actual measured values, statistical analyses of prediction errors, and evaluations of the reliability of the estimates provided. Predictions were produced alongside uncertainty intervals (expressed as the 5th, 50th, and 95th percentiles), enabling transparent communication about the confidence associated with each pollution estimate. All datasets were formatted according to established scientific data standards (NetCDF format), ensuring consistency, interoperability, and ease of use for stakeholders.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-27" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43887, "uuid": "81e8949519894720abd964b782e13275", "short_code": "comp", "title": "Machine-Learning-Based Prediction and Aggregation of Air Pollution Estimates into \"Typical Day\" Profiles", "abstract": "The dataset was created using a supervised machine-learning pipeline. The pipeline generates air pollution concentration predictions across a 1 km^2^ grid over England, subsequently aggregated to form representative \"typical\" hourly cycles for each day of the week and month. This approach simplifies downstream use cases such as policy assessment and public communication. 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These data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites. Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited over daily and monthly timescales. They contain the particulate matter PM2.5 and PM10 products. 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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": [ 209288, 209287, 209286, 209285, 209284, 209283, 209282, 209289 ], "onlineresource_set": [] }, { "ob_id": 43753, "uuid": "b3438d6d5f634c39af57335df1febe6f", "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20020711-20020726)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). 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A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. 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The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). 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