Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=10000
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=10100", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=9900", "results": [ { "ob_id": 44677, "uuid": "6ab837fc79e4487a9930a221b294df01", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): 3-Hourly Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product, version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1 and MTSAT 2, Advanced Himawari Imager (AHI) on Himawari 8 and Himawari 9 ; and polar, Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Along-Track Scanning Radiometer 2 (ATSR-2) on European Remote-sensing Satellite 2 (ERS-2), Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel-3A and Sentinel-3B, Advanced Very High Resolution Radiometer (AVHRR) on Metop-A, and Visible Infra-red Imaging Radiometer Suite(VIIRS) on Suomi National Polar-orbiting Partnership (Suomi NPP) . However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 24th January 2004 and ends on 31st December 2023.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThis version of the dataset (Version 3.00) extends the temporal coverage to the end of 2023. An extension of the dataset to the end of 2024 is planned in the future.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "irregular", "dataLineage": "The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\nContact: data.lst-cci@acri-st.fr", "removedDataReason": "", "keywords": "land surface temperature, ESA, CCI", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2026-01-26T18:16:04", "doiPublishedTime": "2026-02-18T09:37:31.319063", "removedDataTime": null, "geographicExtent": { "ob_id": 2896, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45226, "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRMGP/L3S/0.05/v3.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1668115316900, "numberOfFiles": 58239, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 12569, "startTime": "2004-01-24T00:00:00", "endTime": "2023-12-31T23:59:59" }, "resultQuality": { "ob_id": 3798, "explanation": "For information on the data quality see the associated LST_cci documentation", "passesTest": true, "resultTitle": "LST cci", "date": "2021-11-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44682, "uuid": "22f48eeaec684bd3b24fff794912d2cc", "short_code": "cmppr", "title": "Composite process for the ESA Land Surface Temperature Climate Change Initiative (LST_cci): 3-Hourly Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) Land surface temperature (LST) level 3 supercollated (L3S) global product, version 3.00", "abstract": "For more information on the retrieval algorithm used see the documentation on the LST CCI webpages (https://climate/esa/int/projects/land-surface-temperature)" }, "imageDetails": [ 111 ], "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." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62778, 62779, 62780, 62781, 62790, 62791, 62792, 66303, 66305, 66308, 66310, 66311, 66312, 66754, 92729 ], "vocabularyKeywords": [], "identifier_set": [ 13728 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 213960, 213961, 213962, 213963, 213964, 213965, 213966, 213967, 213968, 213969, 213972, 213970, 213973, 213971 ], "onlineresource_set": [ 94086, 94083 ] }, { "ob_id": 44688, "uuid": "d1929f1241e24d3cade8e933ed1f1ff8", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR-3 (Advanced Very High Resolution Radiometer-3) on NOAA-15 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (1998-2010), version 1.50", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on NOAA-15. 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\nSeparate files are provided for temperatures retrieved from descending and ascending orbits. Descending and ascending equator crossing times were originally 07:30 and 19:30 local solar time but have been allowed to drift.\r\nThis product includes a time correction which can be added to the observed LST to correct to a consistent overpass time.\r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. 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 0.05° longitude and 0.05° latitude. AVHRR 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 24th September 1998 and continues to 3rd July 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": null, "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The AVHRR L1C FCDR data produced by the ESA CCI SST project were used as inputs. 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 ascending and descending products at Level 3C.\r\n\r\nContact: data.lst-cci@acri-st.fr", "removedDataReason": "", "keywords": "land surface temperature, ESA, CCI, AVHRR-3, NOAA-15", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "0.05 degree", "status": "completed", "dataPublishedTime": "2026-02-13T17:24:45", "doiPublishedTime": "2026-02-13T17:28:05", "removedDataTime": null, "geographicExtent": { "ob_id": 2896, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45260, "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA15_AVHRR/L3C/0.05/v1.50/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 489582821250, "numberOfFiles": 8085, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 12570, "startTime": "1998-09-24T00:00:00", "endTime": "2010-07-03T23:59:59" }, "resultQuality": { "ob_id": 3798, "explanation": "For information on the data quality see the associated LST_cci documentation", "passesTest": true, "resultTitle": "LST cci", "date": "2021-11-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44694, "uuid": "231890873b5b4660ad5da1628ace4017", "short_code": "cmppr", "title": "Composite process for the ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR/3 (Advanced Very High Resolution Radiometer /3) on NOAA-15 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product, version 1.50", "abstract": "The data were derived from the AVHRR/3 (Advanced Very High Resolution Radiometer /3) on the NOAA-15 (National Oceanic and Atmospheric Administration -15) satellite.\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. For more information see the dataset documentation." }, "imageDetails": [ 111 ], "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." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62778, 62779, 62780, 62781, 62790, 62791, 62792, 66303, 66304, 66305, 66308, 66310, 66311, 66312, 66751, 66753, 66754, 75124, 75126, 92764, 92765 ], "vocabularyKeywords": [], "identifier_set": [ 13720 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214000, 214001, 214002, 214003, 214004, 214005, 214006, 214007, 214008, 214009, 214010 ], "onlineresource_set": [ 94089, 94090 ] }, { "ob_id": 44699, "uuid": "5bb0574394fa4e6d9195650d26dfc69a", "title": "ICECAPS-MELT: Manual snow density from two 1-m snow profiles in southwest Greenland (May 2024)", "abstract": "Manual snow density (km m-3) from two 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-06T21:54:50.243899", "lastUpdatedDate": "2025-08-14T16:33:50", "latestDataUpdateTime": "2025-08-06T21:54:50", "updateFrequency": "notPlanned", "dataLineage": "The mass of each snow sample was recorded in the field. The metal cutter volume was measured independent of manufacturer specifications. All computations were made away from deep field conditions. Density was computed as the mass (+/- 0.1 g, 1-sigma) divided by the volume (small cutter uncertainty = +/- 4 cm3, 1-sigma; large cutter uncertainty = +/- 10 cm3).", "removedDataReason": "", "keywords": "Greenland,Camp Raven,snow profile,snow,density,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T16:23:56", "doiPublishedTime": "2026-02-02T16:03:52.871496", "removedDataTime": null, "geographicExtent": { "ob_id": 4849, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45219, "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowDens1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3776, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12613, "startTime": "2024-05-15T00:00:00", "endTime": "2024-05-18T00:00:00" }, "resultQuality": { "ob_id": 4772, "explanation": "Manual snow density measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. They were cross-referenced against concurrent permittivity-based snow density measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44700, "uuid": "18086009b2b94dea892684df1fdd187b", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Comprehensive 1-m snow property profiles from southwest Greenland (May 2024)", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92722, 92723, 92724 ], "vocabularyKeywords": [], "identifier_set": [ 13703 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214021, 214022, 214023, 214024, 214025, 214026, 214027, 214798, 214028, 214956, 214029, 214030, 214031, 214032, 214033, 214034, 214035, 214036, 214037, 214038 ], "onlineresource_set": [ 94091 ] }, { "ob_id": 44702, "uuid": "52ded3b1bad9432ba3f70006eb29595b", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR-3 (Advanced Very High Resolution Radiometer-3) on NOAA-16 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2002-2010), version 1.50", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on NOAA-16. 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\nSeparate files are provided for temperatures retrieved from descending and ascending orbits. Descending and ascending equator crossing times were originally 02:00 and 14:00 local solar time but have been allowed to drift.\r\nThis product includes a time correction which can be added to the observed LST to correct to a consistent overpass time.\r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. 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 0.05° longitude and 0.05° latitude. AVHRR 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 14th January 2002 and continues to 30th December 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": null, "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The AVHRR L1C FCDR data produced by the ESA CCI SST project were used as inputs. 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 ascending and descending products at Level 3C.\r\n\r\nContact: data.lst-cci@acri-st.fr", "removedDataReason": "", "keywords": "land surface temperature, ESA, CCI, AVHRR-3, NOAA-16", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "0.05 degree", "status": "completed", "dataPublishedTime": "2026-02-13T17:25:17", "doiPublishedTime": "2026-02-13T17:28:28", "removedDataTime": null, "geographicExtent": { "ob_id": 2896, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45261, "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA16_AVHRR/L3C/0.05/v1.50/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 427889372260, "numberOfFiles": 6547, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 12574, "startTime": "2002-01-14T00:00:00", "endTime": "2010-12-30T23:59:59" }, "resultQuality": { "ob_id": 3798, "explanation": "For information on the data quality see the associated LST_cci documentation", "passesTest": true, "resultTitle": "LST cci", "date": "2021-11-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44695, "uuid": "2ddea8bf5d5148abba642d4ec3aa02a5", "short_code": "cmppr", "title": "Composite process for the ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR/3 (Advanced Very High Resolution Radiometer /3) on NOAA-16 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product, version 1.50", "abstract": "The data were derived from the AVHRR/3 (Advanced Very High Resolution Radiometer /3) on the NOAA-16 (National Oceanic and Atmospheric Administration -16) satellite.\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. 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This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps." } ], "responsiblepartyinfo_set": [ 214214, 214215, 214216, 214217, 214218, 214219, 214220, 214221, 214222 ], "onlineresource_set": [ 94128, 94129 ] }, { "ob_id": 44746, "uuid": "fb0e0b8dea2147519a71f4949d2713b6", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Praha, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Praha, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11518.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "creationDate": "2025-08-07T16:10:55.553976", "lastUpdatedDate": "2025-08-07T16:10:55.553986", "latestDataUpdateTime": "2025-08-07T16:10:55.553989", "updateFrequency": "daily", "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataReason": "", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2023-04-21T23:09:39", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 3790, "bboxName": "Praha", "eastBoundLongitude": 14.255559921264648, "westBoundLongitude": 14.255559921264648, "southBoundLatitude": 50.10028076171875, "northBoundLatitude": 50.10028076171875 }, "verticalExtent": null, "result_field": { "ob_id": 44745, "dataPath": "/badc/eprofile/data/daily_files/czech-republic/praha/chmi-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2728025876, "numberOfFiles": 1052, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 12588, "startTime": "2023-04-20T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 3890, "explanation": "The data are provided as-is with no quality control undertaken by the Centre for Environmental Data Analysis (CEDA). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "E-PROFILE QC statement", "date": "2022-02-28" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44747, "uuid": "0ff22c986d934e8b964c7757e7b6959a", "short_code": "acq", "title": "CHMI: vaisala-cl51 instrument deployed at Praha", "abstract": "vaisala-cl51 instrument instrument deployed at Praha operated by Czech Hydrometeorological Institute (CHMI) providing cloud base height and aerosol profile data." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 220 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2527, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 7, "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": [ { "ob_id": 6, "classification": "personal" }, { "ob_id": 4, "classification": "academic" }, { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 32779, "uuid": "16a48b5339ab48cd97bb680388c5cddf", "short_code": "proj", "title": "EUMETNET E-PROFILE", "abstract": "E-PROFILE is part of the EUMETNET Composite Observing System, EUCOS, managing the European networks of radar wind profilers (RWP) and automatic lidars and ceilometers (ALC) for the monitoring of vertical profiles of wind and aerosols including volcanic ash.\r\n \r\n\r\nE-PROFILE coordinates the measurements of vertical profiles of wind from radar wind profilers (vertically pointing Doppler radars) and weather radars from a network of locations across Europe and provides the data to the end users. The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50358, 50359, 50360, 50361, 50362, 50363, 50365, 50366, 50367, 50368, 50370, 50371, 50372, 50373, 62345, 62346, 62347 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "short_code": "coll", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps." } ], "responsiblepartyinfo_set": [ 214228, 214229, 214230, 214231, 214232, 214233, 214234, 214235, 214236 ], "onlineresource_set": [ 94130, 94131 ] }, { "ob_id": 44749, "uuid": "a405884af228499f96d6b00f843e84b4", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 instrument deployed at Koln Zulpicher Wall, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 deployed at Koln Zulpicher Wall, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-13-19987.\n", "creationDate": "2025-08-07T16:11:47.200974", "lastUpdatedDate": "2025-08-07T16:11:47.200980", "latestDataUpdateTime": "2025-08-07T16:11:47.200983", "updateFrequency": "daily", "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataReason": "", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2024-08-07T05:48:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4827, "bboxName": "Koln-Zulpicher-Wall", "eastBoundLongitude": 6.932499885559082, "westBoundLongitude": 6.932499885559082, "southBoundLatitude": 50.9296989440918, "northBoundLatitude": 50.9296989440918 }, "verticalExtent": null, "result_field": { "ob_id": 44748, "dataPath": "/badc/eprofile/data/daily_files/germany/koln-zulpicher-wall/cologne-university-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1506755857, "numberOfFiles": 584, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 12589, "startTime": "2024-08-05T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 3890, "explanation": "The data are provided as-is with no quality control undertaken by the Centre for Environmental Data Analysis (CEDA). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "E-PROFILE QC statement", "date": "2022-02-28" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44750, "uuid": "d3d8374f48a54bce885333552f8a8590", "short_code": "acq", "title": "University of Cologne: vaisala-cl51 instrument deployed at Koln Zulpicher Wall", "abstract": "vaisala-cl51 instrument instrument deployed at Koln Zulpicher Wall operated by University of Cologne providing cloud base height and aerosol profile data." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 220 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2527, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 7, "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": [ { "ob_id": 6, "classification": "personal" }, { "ob_id": 4, "classification": "academic" }, { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 32779, "uuid": "16a48b5339ab48cd97bb680388c5cddf", "short_code": "proj", "title": "EUMETNET E-PROFILE", "abstract": "E-PROFILE is part of the EUMETNET Composite Observing System, EUCOS, managing the European networks of radar wind profilers (RWP) and automatic lidars and ceilometers (ALC) for the monitoring of vertical profiles of wind and aerosols including volcanic ash.\r\n \r\n\r\nE-PROFILE coordinates the measurements of vertical profiles of wind from radar wind profilers (vertically pointing Doppler radars) and weather radars from a network of locations across Europe and provides the data to the end users. The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50358, 50359, 50360, 50361, 50362, 50363, 50365, 50366, 50367, 50368, 50370, 50371, 50372, 50373, 62345, 62346, 62347 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "short_code": "coll", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps." } ], "responsiblepartyinfo_set": [ 214239, 214240, 214241, 214242, 214243, 214244, 214245, 214246, 214247 ], "onlineresource_set": [ 94132 ] }, { "ob_id": 44753, "uuid": "a49b455ac2c44d4e9a365c001c9f575f", "title": "ICECAPS-MELT: Permittivity-based snow density from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-07T23:51:24.097559", "lastUpdatedDate": "2025-08-14T16:37:54", "latestDataUpdateTime": "2025-08-07T23:51:24", "updateFrequency": "notPlanned", "dataLineage": "The permittivity sensor was inserted vertically into a slot the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.", "removedDataReason": "", "keywords": "Greenland,Camp Raven,ICECAPS,ICECAPS-MELT,snow density,permittivity,snow profile,SnowPro,FPGA, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:22:57", "doiPublishedTime": "2026-02-02T15:56:46.292222", "removedDataTime": null, "geographicExtent": { "ob_id": 4854, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45223, "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowDens2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5600, "numberOfFiles": 5, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12618, "startTime": "2024-05-15T00:00:00", "endTime": "2024-05-18T00:00:00" }, "resultQuality": { "ob_id": 4773, "explanation": "All measurements were made in alignment with FPGA SnowPro User Manual, v2. Measurements were referenced against coincident manual snow density measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44795, "uuid": "d34373a40d0044fca1d917e859ab74a2", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024) abstract" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92722, 92723, 92724 ], "vocabularyKeywords": [], "identifier_set": [ 13699 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214256, 214257, 214258, 214259, 214260, 214261, 214262, 214795, 214263, 214960, 214264, 214265, 214266, 214267, 214268, 214269, 214270, 214271, 214272, 214273 ], "onlineresource_set": [ 94133, 94134 ] }, { "ob_id": 44757, "uuid": "b5e3c36c3d6941f8b5731f5111a18511", "title": "Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) flume data from laboratory experiments in February and March 2023", "abstract": "This dataset consists of processed Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) data of a sandy flume bed. The experiments were undertaken in the HR Wallingford laboratory in February and March 2023. Experiments were designed to investigate the generation of sandy bedforms in the wakes of offshore wind turbines, and the variation of bed shear stress due to both the bedforms and the monopiles. Two monopile sizes were used (0.25 m and 0.65 m) with a 1:20 scaling to field scale. Cleaned quarry sand was used to make the sand bed (0.2 m deep), of median diameter 0.245 mm, and 90th percentile 0.290 mm. Rock armour was created and placed around the monopiles to create realistic designs, this consisted of 10 mm grains of high-density rock (3000 kg/m3). Rock armour geometry can be found in the TLS scans. Data were collected by Bangor University, HR Wallingford and the National Oceanography Centre under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1.", "creationDate": "2025-08-08T08:23:49.876784", "lastUpdatedDate": "2025-08-08T08:23:49", "latestDataUpdateTime": "2025-08-08T08:23:49", "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": "oceans, geoscientificInformation", "publicationState": "citable", "nonGeographicFlag": true, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-08-06T10:48:04", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 44756, "dataPath": "/bodc/unw250903/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": null }, "timePeriod": { "ob_id": 12591, "startTime": "2023-02-01T00:00:00", "endTime": "2023-03-30T23:59:59" }, "resultQuality": { "ob_id": 4774, "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": "2025-08-08" }, "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": [ 13494 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214279, 214281, 214280, 214278, 214277, 214276, 214282, 214283, 214284, 214285, 214286, 214287, 214288, 214289, 214290 ], "onlineresource_set": [] }, { "ob_id": 44759, "uuid": "1ce3e71a2ca54807a1360a1ea4a1053a", "title": "ICECAPS-MELT: Manual snow properties from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow properties were measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. A layer identification was performed and then snow properties were measured: snow grain size, snow crystal habit/form, and hand hardness. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-08T23:06:48.559288", "lastUpdatedDate": "2025-08-14T17:46:18", "latestDataUpdateTime": "2025-08-08T23:06:48", "updateFrequency": "notPlanned", "dataLineage": "Manual snow property measurements of snow grain size, snow crystal habit/form, and hand hardness were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. Snow grains > 0.5 mm were recorded to the nearest 0.5 mm, otherwise very fine grains recorded as 0.1, 0.3, 0.5 mm. The layer identification was done by sliding a snow crystal card downward through the snow pit face to test for changes in tensile strength. These layers were cross-checked against the visual appearance of each layer. The hand hardness classifications were converted to a 0-5 scale, with 0.5 increments allowed when the snow was determined to be in between two classifications.", "removedDataReason": "", "keywords": "Greenland,Camp Raven,snow profile,grain size,hand hardness,layer identification,crystal form,crystal habit,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:29:10", "doiPublishedTime": "2026-02-02T16:00:26.267736", "removedDataTime": null, "geographicExtent": { "ob_id": 4865, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45221, "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowProps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4090, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12629, "startTime": "2024-05-15T00:00:00", "endTime": "2024-05-18T00:00:00" }, "resultQuality": { "ob_id": 4775, "explanation": "Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. Layer ID has vertical resolution of +/- 0.5 cm (1-sigma). Snow grains > 0.5 mm in diameter were recorded to the nearest 0.5 mm, otherwise very fine grains recorded as 0.1, 0.3, or 0.5 mm.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-08" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44760, "uuid": "db52b19259cc4352a265443fa9a5e733", "short_code": "acq", "title": "Acquisition for: Manual snow properties from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Acquisition for: Manual snow properties from two 1-m snow profiles in SW Greenland (May 2024)" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92731, 92732, 92733, 92734, 92735, 92736, 92737, 92738, 92739 ], "vocabularyKeywords": [], "identifier_set": [ 13701 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214293, 214294, 214295, 214296, 214297, 214298, 214299, 214792, 214300, 214958, 214301, 214302, 214303, 214304, 214305, 214306, 214307, 214308, 214309, 214310 ], "onlineresource_set": [ 94135 ] }, { "ob_id": 44762, "uuid": "23bd97b1ac1e4e318234b2f2cab0892b", "title": "ICECAPS-MELT: Manual shear strength from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Shear strength (kPa) was measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-08T23:19:51.241114", "lastUpdatedDate": "2025-08-14T16:38:18", "latestDataUpdateTime": "2025-08-08T23:19:51", "updateFrequency": "notPlanned", "dataLineage": "Shear strength was measured using one of two shear frames (100 cm2, 250 cm2) with one of two fish hook scales (range 0-110 N and 0-250 N). The choice depended on the strength of the snow relative to the force scale range. The measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. The measurements were made by preparing a column of snow approximately the same surface area as the shear frame. The shear frame was carefully tapped into the top of the snow column until flush. The fishhook scale was attached to shear frame and pulled such that the frame released in 1 s or less. Max force was recorded from the fishhook scale. Shear strength was computed as the ratio of the max force and shear frame cross-sectional area.", "removedDataReason": "", "keywords": "Greenland,Camp Raven,shear strength,ICECAPS,ICECAPS-MELT,snow profile,Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:36:04", "doiPublishedTime": "2026-02-02T16:08:26.405976", "removedDataTime": null, "geographicExtent": { "ob_id": 4855, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45217, "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowShearStreng", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3890, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12619, "startTime": "2024-05-15T00:00:00", "endTime": "2024-05-18T00:00:00" }, "resultQuality": { "ob_id": 4776, "explanation": "Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. Uncertainty in max force values were +/- 4 N, 1-sigma. Uncertainty in shear frame area is 0.01 cm2, 1-sigma.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-08" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44799, "uuid": "85f48518c1834de7aff6323980245088", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024) abstract" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92723, 92725, 92726, 92727, 92728 ], "vocabularyKeywords": [], "identifier_set": [ 13705 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214313, 214314, 214315, 214316, 214317, 214318, 214319, 214800, 214320, 214954, 214321, 214322, 214323, 214324, 214325, 214326, 214327, 214328, 214329, 214330 ], "onlineresource_set": [ 94138, 94139, 94140 ] }, { "ob_id": 44765, "uuid": "71594a494413446bbfe4583be97fe41b", "title": "ICECAPS-MELT: Snow specific surface area from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-08T23:44:34.086581", "lastUpdatedDate": "2025-08-14T16:30:04", "latestDataUpdateTime": "2025-08-08T23:44:34", "updateFrequency": "notPlanned", "dataLineage": "The Infrasnow sensor was held vertically against the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.", "removedDataReason": "", "keywords": "Greenland,Camp Raven,Specific Surface Area,snow profile,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:32:57", "doiPublishedTime": "2026-02-02T15:53:56.621707", "removedDataTime": null, "geographicExtent": { "ob_id": 4847, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45225, "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowSSA", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2941, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12611, "startTime": "2024-05-15T00:00:00", "endTime": "2024-05-18T00:00:00" }, "resultQuality": { "ob_id": 4777, "explanation": "All measurements were made in alignment with FPGA Infrasnow User Manual. Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. Unevenness in the snow pit face will allow a variable but small amount of side-light into the measurement causing a variable but small low bias in these measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-08" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44801, "uuid": "01cd0a0cdbca487daa99eeb0b5f2bfec", "short_code": "acq", "title": "Acquisition for: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92723, 92724, 92730 ], "vocabularyKeywords": [], "identifier_set": [ 13697 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214333, 214334, 214335, 214336, 214337, 214338, 214339, 214793, 214340, 214962, 214341, 214342, 214343, 214344, 214345, 214346, 214347, 214348, 214349, 214350 ], "onlineresource_set": [ 94141 ] }, { "ob_id": 44771, "uuid": "ace4b6a343ba49fe926492991848f960", "title": "SSP370 data produced by the EC-Earth3-AerChem 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 EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. 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 greenhouse gas emissions, near constant global sulphur dioxide 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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "For EC-Earth coupled transient simulations, restart files for the EC-Earth-AerChem CMIP6 historical experiment (member r3i1p1f1) from a point 15 years before then end of the experiment are the starting point. Small random perturbations, of the order of machine precision, were applied to these files 10 times. Each of these perturbed restart file sets was used to run the model to the end of the CMIP6 historical period. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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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, 11046, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50423, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50542, 50543, 50552, 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, 50618, 50620, 51205, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54692, 54829, 59480, 59481, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79857, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82147, 82148, 82149, 82150, 82151 ], "vocabularyKeywords": [], "identifier_set": [ 13526 ], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. 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 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from 2015 to 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "For EC-Earth coupled transient simulations, restart files for the EC-Earth-AerChem CMIP6 historical experiment (member r3i1p1f1) from a point 15 years before then end of the experiment are the starting point. Small random perturbations, of the order of machine precision, were applied to these files 10 times. Each of these perturbed restart file sets was used to run the model to the end of the CMIP6 historical period. Each of the 10 sets of restart files at the end of the historical period obtained in this way forms the starting point for one ensemble member of each RAMIP transient coupled experiment.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-08-13T14:22:11", "doiPublishedTime": "2025-09-15T15:07:18.947896", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44775, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2424366628080, "numberOfFiles": 42920, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "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": 44772, "uuid": "0dff018a1b6f4d308c8fa5d922d0d00f", "short_code": "comp", "title": "EC-Earth3-AerChem climate model", "abstract": "The EC-Earth3-AerChem climate model, released in 2019, includes the following components: // aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. // For CMIP6, the model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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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 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from 2015 to 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "For EC-Earth coupled transient simulations, restart files for the EC-Earth-AerChem CMIP6 historical experiment (member r3i1p1f1) from a point 15 years before then end of the experiment are the starting point. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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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 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "For EC-Earth coupled transient simulations, restart files for the EC-Earth-AerChem CMIP6 historical experiment (member r3i1p1f1) from a point 15 years before then end of the experiment are the starting point. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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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, 11046, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50423, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50542, 50543, 50552, 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, 50618, 50620, 51205, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54692, 54829, 59480, 59481, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82146, 82147, 82148, 82149, 82150, 82151 ], "vocabularyKeywords": [], "identifier_set": [ 13529 ], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. 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 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 214403, 214404, 214405, 214406, 214407, 214408, 214409, 214410, 214411, 214412 ], "onlineresource_set": [ 94152, 94153 ] }, { "ob_id": 44783, "uuid": "9a3e0018214c44d7ae154e5cb6025707", "title": "SSP370-SAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "For EC-Earth coupled transient simulations, restart files for the EC-Earth-AerChem CMIP6 historical experiment (member r3i1p1f1) from a point 15 years before then end of the experiment are the starting point. Small random perturbations, of the order of machine precision, were applied to these files 10 times. Each of these perturbed restart file sets was used to run the model to the end of the CMIP6 historical period. Each of the 10 sets of restart files at the end of the historical period obtained in this way forms the starting point for one ensemble member of each RAMIP transient coupled experiment.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-08-13T14:27:21", "doiPublishedTime": "2025-09-15T15:09:09.813584", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44779, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2420527134582, "numberOfFiles": 42917, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "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": 44772, "uuid": "0dff018a1b6f4d308c8fa5d922d0d00f", "short_code": "comp", "title": "EC-Earth3-AerChem climate model", "abstract": "The EC-Earth3-AerChem climate model, released in 2019, includes the following components: // aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. // For CMIP6, the model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. For RAMIP, the model was run by FMI." }, "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, 11046, 27828, 27829, 50415, 50417, 50418, 50420, 50423, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50542, 50543, 50550, 50552, 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, 50618, 50620, 51205, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54692, 54829, 59480, 59481, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82146, 82147, 82148, 82149, 82150, 82151, 83940 ], "vocabularyKeywords": [], "identifier_set": [ 13531 ], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. 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 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 214413, 214414, 214415, 214416, 214417, 214418, 214419, 214420, 214421, 214422 ], "onlineresource_set": [ 94154, 94155 ] }, { "ob_id": 44791, "uuid": "42253e31a80947c1b63a5af456f04eeb", "title": "ICECAPS-MELT: Manual snow density from one 1-m snow profile in southwest Greenland (August 2024)", "abstract": "Manual snow density (km m-3) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-11T22:24:03.214419", "lastUpdatedDate": "2025-08-14T16:40:32", "latestDataUpdateTime": "2025-08-11T22:24:03", "updateFrequency": "notPlanned", "dataLineage": "The mass of each snow sample was recorded in the field. The metal cutter volume was measured independent of manufacturer specifications. Density was computed as the mass (+/- 0.1 g, 1-sigma) divided by the volume (small cutter uncertainty = +/- 4 cm3, 1-sigma; large cutter uncertainty = +/- 20 cm3, 1-sigma).", "removedDataReason": "", "keywords": "Greenland,snow profile,density,ICECAPS,ICECAPS-MELT,Camp Raven, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T16:22:43", "doiPublishedTime": "2026-02-02T16:05:21.031069", "removedDataTime": null, "geographicExtent": { "ob_id": 4860, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45218, "dataPath": "/badc/icecaps-melt/data/202408CampRavenSnowDens1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2539, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12624, "startTime": "2024-08-21T00:00:00", "endTime": "2024-08-22T00:00:00" }, "resultQuality": { "ob_id": 4778, "explanation": "Manual snow density measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. They were cross-referenced against concurrent permittivity-based snow density measurements. Some spatial variability was apparent in snow properties based on concurrent, unpublished snow density measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44792, "uuid": "657c50c391034755a050eb5fce38d75e", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Manual snow density from one 1-m snow profile in southwest Greenland (August 2024)", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92722, 92723, 92724 ], "vocabularyKeywords": [], "identifier_set": [ 13704 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214447, 214448, 214449, 214450, 214451, 214452, 214453, 214799, 214454, 214955, 214455, 214456, 214457, 214458, 214459, 214460, 214461, 214462, 214463, 214464, 214465, 214466 ], "onlineresource_set": [ 95140 ] }, { "ob_id": 44794, "uuid": "0eaf19b647c54f489f5c5cbb8d0d83ab", "title": "ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-11T22:39:13.596256", "lastUpdatedDate": "2025-08-15T18:31:59", "latestDataUpdateTime": "2025-08-11T22:39:13", "updateFrequency": "notPlanned", "dataLineage": "The SnowPro-40 permittivity sensor was inserted vertically into a slot the snow pit wall, then moved vertically downwards for each subsequent measurement. The SnowPro-17 permittivity sensor was held vertically against the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.", "removedDataReason": "", "keywords": "Greenland,snow profile,density,permittivity,SnowPro,FPGA,ICECAPS,ICECAPS-MELT,Camp Raven, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:10:04", "doiPublishedTime": "2026-02-02T15:57:59.083972", "removedDataTime": null, "geographicExtent": { "ob_id": 4867, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45222, "dataPath": "/badc/icecaps-melt/data/202408CampRavenSnowDens2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3458, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12631, "startTime": "2024-08-21T00:00:00", "endTime": "2024-08-22T00:00:00" }, "resultQuality": { "ob_id": 4779, "explanation": "All measurements were made in alignment with FPGA SnowPro User Manual, v2. Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. There may have been air gaps between the SnowPro-17 and the snow pit face, resulting in a small low bias in these measurements. Measurements were made only in dry snow.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44795, "uuid": "d34373a40d0044fca1d917e859ab74a2", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024) abstract" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92722, 92723, 92724 ], "vocabularyKeywords": [], "identifier_set": [ 13700 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214469, 214470, 214471, 214472, 214473, 214474, 214475, 214796, 214476, 214959, 214477, 214478, 214479, 214480, 214481, 214482, 214483, 214484, 214485, 214486, 214487, 214488 ], "onlineresource_set": [ 94159, 94160 ] }, { "ob_id": 44796, "uuid": "efcba0f0ba4248c18ff3db743f7d0410", "title": "ICECAPS-MELT: Manual snow properties from one 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow properties were measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. The properties measured were snow grain size, snow crystal habit/form, and hand hardness. A layer identification was performed prior to these measurements. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-11T23:20:21.211221", "lastUpdatedDate": "2025-08-14T17:46:00", "latestDataUpdateTime": "2025-08-11T23:20:21", "updateFrequency": "notPlanned", "dataLineage": "Manual snow property measurements of snow grain size, snow crystal habit/form, and hand hardness were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. Snow grains > 0.5 mm were recorded to the nearest 0.5 mm, otherwise very fine grains recorded as 0.1, 0.3, 0.5 mm. The layer identification was done by sliding a snow crystal card downward through the snow pit face to test for changes in tensile strength. These layers were cross-checked against the visual appearance of each layer. The hand hardness classifications were converted to a 0-5 scale, with 0.5 increments allowed when the snow was determined to be in between two classifications.", "removedDataReason": "", "keywords": "Greenland,snow profile,hand hardness,crystal form,crystal habit,grain size,ICECAPS,ICECAPS-MELT,Camp Raven, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T14:55:53", "doiPublishedTime": "2026-02-02T16:02:41.390808", "removedDataTime": null, "geographicExtent": { "ob_id": 4864, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45220, "dataPath": "/badc/icecaps-melt/data/202408CampRavenSnowProps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3666, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12628, "startTime": "2024-08-21T00:00:00", "endTime": "2024-08-22T00:00:00" }, "resultQuality": { "ob_id": 4780, "explanation": "Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. 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This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92731, 92732, 92733, 92734, 92735, 92737, 92763 ], "vocabularyKeywords": [], "identifier_set": [ 13702 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214490, 214491, 214492, 214493, 214494, 214495, 214496, 214797, 214497, 214957, 214498, 214499, 214500, 214501, 214502, 214503, 214504, 214505, 214506, 214507, 214508, 214509 ], "onlineresource_set": [ 94161 ] }, { "ob_id": 44798, "uuid": "3ef571a45bcc4d95aaf8e48569a21ab5", "title": "ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Shear strength (kPa) was measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-11T23:27:31.035843", "lastUpdatedDate": "2025-08-14T16:40:48", "latestDataUpdateTime": "2025-08-11T23:27:31", "updateFrequency": "notPlanned", "dataLineage": "Shear strength was measured using one of two shear frames (100 cm2, 250 cm2) with one of two fish hook scales (range 0-110 N and 0-250 N). The choice depended on the strength of the snow relative to the force scale range. The measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. The measurements were made by preparing a column of snow approximately the same surface area as the shear frame. The shear frame was carefully tapped into the top of the snow column until flush. The fishhook scale was attached to shear frame and pulled such that the frame released in 1 s or less. Max force was recorded from the fishhook scale. Shear strength was computed as the ratio of the max force and shear frame cross-sectional area.", "removedDataReason": "", "keywords": "Greenland,snow profile,shear strength,ICECAPS,ICECAPS-MELT,Camp Raven, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:02:43", "doiPublishedTime": "2026-02-02T16:09:26.643296", "removedDataTime": null, "geographicExtent": { "ob_id": 4861, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45216, "dataPath": "/badc/icecaps-melt/data/202408CampRavenSnowShearStreng", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2839, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12625, "startTime": "2024-08-21T00:00:00", "endTime": "2024-08-22T00:00:00" }, "resultQuality": { "ob_id": 4781, "explanation": "Some spatial variability was apparent in snow properties based on unpublished compression strength measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44799, "uuid": "85f48518c1834de7aff6323980245088", "short_code": "acq", "title": "Acquisition for: ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024) abstract" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92723, 92725, 92726, 92727, 92728 ], "vocabularyKeywords": [], "identifier_set": [ 13706 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214511, 214512, 214513, 214514, 214515, 214516, 214517, 214801, 214518, 214953, 214519, 214520, 214521, 214522, 214523, 214524, 214525, 214526, 214527, 214528, 214529, 214530 ], "onlineresource_set": [ 94162, 94163 ] }, { "ob_id": 44800, "uuid": "55467b8d0a314f408e73175d553fbdb1", "title": "ICECAPS-MELT: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "creationDate": "2025-08-11T23:32:38.819007", "lastUpdatedDate": "2025-08-14T16:41:58", "latestDataUpdateTime": "2025-08-11T23:32:38", "updateFrequency": "notPlanned", "dataLineage": "The Infrasnow sensor was held vertically against the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.", "removedDataReason": "", "keywords": "Greenland,Camp Raven,snow profile,specific surface area,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T17:31:16", "doiPublishedTime": "2026-02-02T15:55:10.223883", "removedDataTime": null, "geographicExtent": { "ob_id": 4862, "bboxName": "", "eastBoundLongitude": -46.3, "westBoundLongitude": -46.3, "southBoundLatitude": 66.48, "northBoundLatitude": 66.48 }, "verticalExtent": null, "result_field": { "ob_id": 45224, "dataPath": "/badc/icecaps-melt/data/202408CampRavenSnowSSA", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2102, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12626, "startTime": "2024-08-21T00:00:00", "endTime": "2024-08-22T00:00:00" }, "resultQuality": { "ob_id": 4782, "explanation": "All measurements were made in alignment with FPGA Infrasnow User Manual. Some spatial variability was apparent in snow properties based on unpublished compression strength measurements. Unevenness in the snow pit face will allow a variable but small amount of side-light into the measurement causing a variable but small low bias in these measurements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44801, "uuid": "01cd0a0cdbca487daa99eeb0b5f2bfec", "short_code": "acq", "title": "Acquisition for: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Acquisition for: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 237 ], "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": 38309, "uuid": "70c96882916149658752b2b123931a5d", "short_code": "proj", "title": "ICECAPS-MELT: NSFGEO-NERC Collaborative Research", "abstract": "Overview: A three-year extension to the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) project. This project was an international collaboration that funded the original ICECAPS researchers through the U.S. National Science Foundation's Arctic Observing Network and a team of researchers at the University of Leeds through the U.K. Natural Environment Research Council. The ICECAPS project continuously operated a sophisticated suite of ground-based instruments at Summit Station, Greenland since 2010 for observation of clouds, precipitation, and atmospheric structure. The project significantly advanced the understanding of cloud properties, radiation and surface energy, and precipitation processes over the Greenland Ice Sheet (GrIS) during a period of rapid climate change. The project supported numerous national and international collaborations in process-based model evaluation, development of new measurement techniques, ground comparisons for multiple satellite measurements and aircraft missions, and operational radiosonde data for weather forecast models. The project proposed to complement the ICECAPS Summit observatory by building, testing and deploying an additional observatory for measuring parameters of the surface mass and energy budgets of the GrIS. The observatory takes a novel approach for unattended, autonomous operations by supporting a suite of instruments that require moderate power and manageable internet bandwidth. The new observatory was deployed in successive summers at Summit Station in the dry-snow zone and at Dye-2 in the percolation zone. If this pilot project is successful, a network of these observatories will be proposed for future deployment that will observe the processes of air parcels as they move along Lagrangian trajectories in southwestern Greenland.\r\n\r\nGrant award: NE/X002403/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92721, 92724, 92730, 92731 ], "vocabularyKeywords": [], "identifier_set": [ 13698 ], "observationcollection_set": [ { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "responsiblepartyinfo_set": [ 214532, 214533, 214534, 214535, 214536, 214537, 214538, 214794, 214539, 214961, 214540, 214541, 214542, 214543, 214544, 214545, 214546, 214547, 214548, 214549, 214550, 214551 ], "onlineresource_set": [ 94164 ] }, { "ob_id": 44803, "uuid": "bd3bdca3c9a24553893cafffe768fe56", "title": "Model data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. 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 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\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \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": "2025-02-04T14:56:03.799450", "lastUpdatedDate": "2025-02-04T14:56:19", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/) In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4683, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12051, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4783, "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": "2025-08-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44804, "uuid": "b06c8ef6f34f4cd687f14cdec8e6a214", "short_code": "comp", "title": "GFDL-SPEAR_LO climate model", "abstract": "The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "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": [], "responsiblepartyinfo_set": [ 214559, 214560, 214561, 214562, 214563, 214564, 214565 ], "onlineresource_set": [ 94169, 94170 ] }, { "ob_id": 44811, "uuid": "2c107ff8ab5a432f89851db57e23bcbc", "title": "Copernicus Climate Change Service: Brokered ESA Cloud CCI Cloud Properties L3 data from the ATSR series, version 3.1", "abstract": "This record comprises 17 years (1995-2012) of global cloud observations from the Along Track Scanning Radiometer (ATSR) series of instruments, flown on board the ESA Earth Observation satellites (ERS-2) and Envisat. The data is provided as monthly 0.5 x 0.5 degree, and daily 0.1x0.1 degree, longitude-latitude averages containing fractional cloud coverage (the percentage of each grid cell covered by cloud), cloud-top height, cloud optical depth, effective radius and liquid/ice water paths, along with uncertainties for each parameter.\r\n\r\nThis dataset is a re-gridded version of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci) produced to meet the requirements for distribution through the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS).", "creationDate": "2025-08-14T14:15:21.344442", "lastUpdatedDate": "2025-08-14T14:15:21", "latestDataUpdateTime": "2025-08-14T14:15:21", "updateFrequency": "notPlanned", "dataLineage": "ATSR-2 and Advanced-ATSR (AATSR) data aquired by ESA and archived by CEDA (third reprocessing (A)ATSR-multi mission product).\r\n\r\nLevel-2 data processed by RAL Space for the ESA Cloud_cci project ( (A)ATSR cloud properties Essential Climate Variable product, version 3).\r\n\r\nLevel-3 data produced by RAL Space for C3S ((A)ATSR cloud properties Thematic Climate Data Record, v3.0).", "removedDataReason": "", "keywords": "Clouds, ESA, CCI, Copernicus, C3S", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4844, "bboxName": "", "eastBoundLongitude": -180.0, "westBoundLongitude": 180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44915, "dataPath": "/neodc/c3s_cp/data/L3C/atsr2-aatsr/esa_cci/tcdr/r01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 504556729032, "numberOfFiles": 6535, "fileFormat": "The data are in NetCDF format." }, "timePeriod": { "ob_id": 12608, "startTime": "1995-06-01T00:00:00", "endTime": "2012-04-08T00:00:00" }, "resultQuality": { "ob_id": 4784, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-14" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44816, "uuid": "86b83f9979bf403cae40cbda9f31f794", "short_code": "cmppr", "title": "Composite Process for Copernicus Climate Change Service: Brokered ESA Cloud CCI Cloud Properties L3 data", "abstract": "Composite process covering Acquisition for: Copernicus Climate Change Service: Brokered ESA Cloud CCI Cloud Properties L3 data and Optimal Retrieval of Aerosol and Cloud (ORAC)." }, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2524, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 5, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_cloud_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 44812, "uuid": "585ecb47c9744a29b298c836c6ea38fc", "short_code": "proj", "title": "Copernicus Climate Change Service: ECV Products and Services for the Atmospheric Physics Domain", "abstract": "This C3S project covers provision of data covering five Essential Climate Variables (ECVs): cloud properties, Earth radiation budget, surface radiation budget, upper-air water vapour and precipitation." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54582, 68887, 68900, 68905, 92366, 92367, 92368, 92369, 92370, 92371, 92372, 92373, 92374, 92375, 92376, 92377, 92378, 92379, 92380, 92381, 92382, 92383, 92384, 92385, 92386, 92387, 92388, 92389, 92390, 92391, 92392, 92393, 92394, 92395, 92396, 92397, 92398, 92399, 92400, 92401, 92402, 92403, 92404, 92405, 92406, 92407, 92408, 92409, 92410, 92411, 92412, 92413, 92414, 92415, 92416, 92417, 92418, 92419, 92420, 92421, 92422, 92423, 92424, 92425, 92426, 92427, 92428, 92429, 92430, 92431, 92432, 92433, 92434, 92435, 92436, 92437, 92438, 92439, 92440, 92441, 92442, 92443, 92444, 92445, 92446, 92447, 92448, 92449, 92450, 92451, 92452, 92453, 92454, 92455, 92456, 92457, 92458, 92459, 92460, 92461, 92462, 92463, 92464, 92465, 92466, 92467, 92468, 92469, 92470, 92471, 92472, 92473, 92474, 92475, 92476, 92477, 92478, 92479, 92480, 92481, 92482, 92483, 92484, 92485, 92486, 92487, 92488, 92489, 92490, 92491, 92492, 92493, 92494, 92495, 92496, 92497, 92498, 92499, 92500, 92501, 92502, 92503, 92504, 92505, 92506, 92507, 92508, 92509, 92510, 92511, 92512, 92513, 92514, 92515, 92516, 92517, 92518, 92519, 92520, 92521, 92522, 92523, 92524 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215210, 215211, 214595, 214596, 214597, 214598, 214599, 214600, 214602, 214603 ], "onlineresource_set": [ 94312, 94313, 94314, 94173 ] }, { "ob_id": 44817, "uuid": "6181ff81c7dc4ab2a492c8f53f58df52", "title": "Deformation, Strains, and Velocities for the Tibetan Plateau from Sentinel-1 InSAR, GNSS, and Levelling Data, version 1", "abstract": "This dataset provides velocity and strain rate fields for the Tibetan Plateau derived from Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite System (GNSS), and levelling data. Interferograms in GeoTIFF format at ~100 m resolution are available from the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics - Looking Inside the Continents from Space InSAR (COMET-LiCSAR) portal (https://comet.nerc.ac.uk/comet-lics-portal/) Using the Looking Inside the Continents from Space with Small Baseline Subset (LiCSBAS) approach, line-of-sight displacement time series and average velocities at ~1 km resolution are inverted, applying corrections for troposphere, ionosphere, Earth tides, and plate motions. Also compiling GNSS velocities and levelling observations from published studies. Following the velmap methodology, a unified coarse 3D velocity field is obtained that fits the GNSS, levelling, and InSAR data. From this, mosaics of ascending and descending line-of-sight velocities in a Eurasia reference frame. Inverting pixel-by-pixel for the east-west and vertical velocities directly from the referenced line-of-sight velocities, using the north–south velocities from the coarse 3D velocity model as a constraint. Strain and rotation rates are calculated from the horizontal gradients of the median-filtered east-west velocities at InSAR resolution and the north-south velocities from the coarse velocity model. Further details are provided in Wright et al. (2025, Science).\r\n\r\nThe directory overview for this dataset are given below:\r\nENU_vels/\r\nEast-west, north-south, and vertical velocity fields, along with their associated uncertainties.\r\n \r\ngeoreferenced_los_vels/\r\nLine-of-sight (LOS) velocities in a Eurasia-fixed reference frame defined by GNSS\r\n \r\nGNSS_levelling_data/\r\nCompiled GNSS velocities and levelling rates from published studies.\r\n \r\nLiCSBAS_los_vels/\r\nOriginal LOS velocities and displacement time series derived from LiCSBAS processing.\r\n \r\nstrain_rates/\r\nComponents of the horizontal velocity gradient tensor, second invariant, maximum shear, dilatation, and vorticity.\r\n \r\nvelmap_strain_rates/\r\nStrain rates calculated from velmap.\r\n\r\nvelmap_vels/\r\nCoarse 3D velocity model derived from velmap.", "creationDate": "2023-02-28T15:45:41.938719", "lastUpdatedDate": "2023-02-28T15:35:14", "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": "COMET, Sentinel 1", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-08-21T13:35:57", "doiPublishedTime": "2025-08-21T13:53:09", "removedDataTime": null, "geographicExtent": { "ob_id": 4868, "bboxName": "Tibet", "eastBoundLongitude": 112.0, "westBoundLongitude": 73.5, "southBoundLatitude": 20.0, "northBoundLatitude": 45.0 }, "verticalExtent": null, "result_field": { "ob_id": 44818, "dataPath": "/neodc/comet/publications_data/Wright_etal_2025_Tibet/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44692558075, "numberOfFiles": 7590, "fileFormat": "These data are provided in GeoTiff format." }, "timePeriod": { "ob_id": 12632, "startTime": "2016-01-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 4222, "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": "2023-02-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44822, "uuid": "b831a485ecd04b9692bcca0bb8cb35d4", "short_code": "cmppr", "title": "Composite process for Deformation, Strains, and Velocities for the Tibetan Plateau from Sentinel-1 InSAR, GNSS, and Levelling Data", "abstract": "Using LiCSBAS, we invert for line-of-sight displacement time series and average velocities at ~1 km resolution, applying corrections for troposphere, ionosphere, Earth tides, and plate motions. We also compile GNSS velocities and levelling observations from published studies. Following the velmap approach, we obtain a unified coarse 3D velocity field that fits the GNSS, levelling, and InSAR data, from which we create mosaics of ascending and descending line-of-sight velocities in a Eurasia reference frame. We then invert pixel-by-pixel for the east-west and vertical velocities directly from the referenced line-of-sight velocities, using the north–south velocities from the coarse 3D velocity model as a constraint. Strain and rotation rates are calculated from the horizontal gradients of the median-filtered east-west velocities at InSAR resolution and the north-south velocities from the coarse velocity model. Further details are provided in Wright et al. (2025, Science)." }, "imageDetails": [ 222 ], "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": 11687, "uuid": "b46fbc668f6547fda79f2899046c29a9", "short_code": "proj", "title": "Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics", "abstract": "The Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET+) represents the Dynamic Earth and Geohazards research group within the National Centre for Earth Observation (NCEO)'s Theme 6 during NCEO phase 1. NCEO phase 1 was is funded by the Natural Environment Research Council (NERC). NCEO phase 2 no longer has the theme 6 within its remit, though COMT+ continues within NERC.\r\n\r\nCOMET+ involves scientists from the University of Oxford, University of Cambridge, University of Leeds, University of Bristol, University oSf Glasgow, University of Reading, and University College London. We aim to combine satellite observations of Earth's surface movements, topography and gas release with terrestrial observations and modelling to advance understanding of the earthquake cycle, continental deformation and volcanic eruptions, and to quantify seismic and volcanic hazards." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 18405, 18408, 68619, 82955 ], "vocabularyKeywords": [], "identifier_set": [ 13514 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214621, 214610, 214611, 214612, 214613, 214614, 214615, 214617, 214622, 214623, 214620, 214624, 214625, 214626, 214618, 214616, 214627, 214628, 214629, 214630, 214631 ], "onlineresource_set": [ 94193, 94185, 94186, 94187, 94188, 94189, 94190, 94192 ] }, { "ob_id": 44819, "uuid": "266dad3b80fa490983c7723a11a1341a", "title": "Honor Oak Park Source Particulate Matter Readings Data Set (2019-2024)", "abstract": "The dataset contains air-quality measurements from Honor Oak Park, a suburban background site in London, collected with the Teledyne T500U instrument. It focuses primarily on PM2.5 sources, such as XACT measurements, methane, carbon dioxide (CO₂), and ammonia, spanning between 2019–2024, depending on the parameter. Periods of missing data reflect instrument downtime or maintenance. \r\n\r\nThe dataset is provided for research and educational use by researchers, students, and the general public.", "creationDate": "2025-08-18T15:48:54.856165", "lastUpdatedDate": "2025-08-21T10:39:37.617882", "latestDataUpdateTime": "2025-08-18T15:48:54.856171", "updateFrequency": "notPlanned", "dataLineage": "The provided data was measured at the Honor Oak Park supersite and uploaded to a database, from which it was ratified and uploaded to the Monnet software, which is used to view and download source readings. After being filtered and segmented by year, it was then saved as a CSV file and converted to NCDF format in preparation for upload.", "removedDataReason": "", "keywords": "London,CH4,CO2,NH3,XACT,PM2.5", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4870, "bboxName": "", "eastBoundLongitude": -0.0325, "westBoundLongitude": -0.0425, "southBoundLatitude": 51.444722, "northBoundLatitude": 51.454722 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12635, "startTime": "2019-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4786, "explanation": "Data is scaled and ratified using regular quality checks undertaken by the operator, and using data from independent audit.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-21" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44820, "uuid": "68d59ba23571459bb55bbba19cd7b4f9", "short_code": "acq", "title": "Acquisition for: Honor Oak Park Source Particulate Matter Readings Data Set (2019-2024)", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214632, 214633, 214634, 214635, 214636, 214637, 214638, 214639 ], "onlineresource_set": [] }, { "ob_id": 44823, "uuid": "c30757575ff440658ab008701f2dbdbd", "title": "__MUST_UPDATE__20250820134946__ 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": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": null, "doiPublishedTime": null, "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": null, "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": [], "permissions": [], "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": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214643, 214644, 214645, 214646, 214647, 214648, 214649, 214650, 214651, 214652, 214653, 214654, 214655 ], "onlineresource_set": [] }, { "ob_id": 44826, "uuid": "475588fdfae24b06a2d0a7d6e56f119e", "title": "PM2.5 Concentrations Measurements in the Arctic and North Atlantic Atmosphere", "abstract": "The DY151 cruise on the Royal Research Ship (RRS) Discovery began on 19th May 2022 and concluded on 26th June 2022. The expedition set out from Reykjavík, Iceland, and traveled across the North Atlantic Ocean, via southeast Greenland, then to the Labrador Sea and Davis Strait (adjacent to melting sea ice), ultimately returning to Southampton, UK. An interdisciplinary team of scientists from various institutions participated in this campaign. The PM2.5 concentration measurements and associated data were specifically collected between 23rd May and 16th June 2022, as outside of this window, the vessel was in transit and not engaged in measurement activities.", "creationDate": "2025-08-25T09:16:03.971338", "lastUpdatedDate": "2025-08-25T09:23:01.557138", "latestDataUpdateTime": "2025-08-25T09:16:03.971342", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "PM2.5", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4871, "bboxName": "", "eastBoundLongitude": -17.0, "westBoundLongitude": 57.0, "southBoundLatitude": 52.0, "northBoundLatitude": 69.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12639, "startTime": "2022-05-22T00:00:00", "endTime": "2022-06-23T00:00:00" }, "resultQuality": { "ob_id": 4787, "explanation": "During the DY151 cruise, data collection followed established scientific protocols for atmospheric measurements, including regular calibration of instruments and routine checks for accuracy and consistency.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-08-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44829, "uuid": "7c15c06079f54330bb6f5e22c064e645", "short_code": "acq", "title": "Acquisition for: PM2.5 Concentrations Measurements in the Arctic and North Atlantic Atmosphere", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43398, "uuid": "880f64e6938642868a0cf2dd66dbc0e9", "short_code": "proj", "title": "Shipping Emissions in the Arctic and North Atlantic atmosphere (SEANA)", "abstract": "SEANA aims to understand the sources of aerosol particles including the contribution from shipping and to determine the response of Arctic and North Atlantic aerosols to future shipping emissions. SEANA coordinated a research cruise, on RRS Discovery, to the west side of Greenland to measure both natural and anthropogenic particles and understanding aerosol processes. Measurements were also conducted at two stations adjacent to the Northwester Passage (Faroe Islands and Thule). These observations were used to update and improve a global aerosol model to better reproduce current \"baselines\". The updated model will be used to predict the impacts of future shipping on air quality, clouds and radiative forcing in the Arctic and North Atlantic Ocean." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214670, 214671, 214672, 214673, 214674, 214675, 214676, 214677, 214678, 214679, 214680, 214681 ], "onlineresource_set": [] }, { "ob_id": 44844, "uuid": "77316e963c8b40d5bc2c9485a6c39027", "title": "ESACCI-CLOUD-AVHRR-AMPM-3-0", "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Cloud properties derived from AVHRR (aboard NOAA and MetOp AM+PM) measurements. This dataset belongs to the ESA Cloud_cci suite of long-term coherent cloud property datasets. The dataset consists of the following variables, rsutcs, rsut, rsuscs, rsus, rsdt, rlutcs, rlut, rlus, clwvi, cltStderr, clt, clivi. The folder structure for each variable are as for example: \r\nESACCI-CLOUD-AVHRR-AMPM-3-0 /mon/clivi/v20250723/clivi_mon_ESACCI-CLOUD-AVHRR-AMPM-3-0_ESMValTool-REF_gn_198201-201612.nc", "creationDate": "2025-09-02T09:53:45.403696", "lastUpdatedDate": "2025-10-02T12:04:58.641890", "latestDataUpdateTime": "2025-09-02T09:53:45.403700", "updateFrequency": "notPlanned", "dataLineage": "Original merged satellite data produced by DWD, derived from AVHRR (on the NOAA and MetOp) into AM/PM data. Data prepared in ESMValTool and then made obs4MIPs compliant using CMOR v.3.10. Changed activity_id to obs4REF for REF use.", "removedDataReason": "", "keywords": "Cloud,Satellite,Merged,Global,Properties,Climate,obs4MIPs,REF,obs4REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4874, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12687, "startTime": "1982-01-01T00:00:00", "endTime": "2016-12-31T00:00:00" }, "resultQuality": { "ob_id": 4790, "explanation": "CMOR rewrote data to be consistent with activity_id, and CF conventions standards", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-04" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44845, "uuid": "641a8ef909144540b4b1b1ab25b89d56", "short_code": "acq", "title": "Acquisition for: ESACCI-CLOUD-AVHRR-AMPM", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 13339, "uuid": "86b9543f4b7c4386a7cc46cdc5aabc93", "short_code": "proj", "title": "ESA Cloud Climate Change Initiative Project", "abstract": "The European Space Agency Cloud Climate Change Initiative (Cloud CCI) project has as objective to provide long-term coherent cloud property data sets exploiting the synergistic capabilities of different Earth observation missions allowing for improved accuracies and enhanced temporal and spatial sampling better than those provided by the single sources. \r\nThis project seeks to utilize the increasing potential of the synergitic capabilities of past, existing and upcoming European and US missions in order to meet the increasing needs for coherent long-term cloud property datasets required by the scientific community." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214761, 214762, 214763, 214764, 214765, 214766, 214990, 214991, 214992, 214993, 214994, 214995, 214996, 214997 ], "onlineresource_set": [ 94208, 94209, 94210 ] }, { "ob_id": 44847, "uuid": "f63dfa592e9748ca8f0ce6f3e5c77fe5", "title": "WOA2023", "abstract": "Sea water salinity, sea water temperature-In-situ (gridded) NOAA National Centers for Environmental Information (NCEI), derived from the World Ocean Atlas Project. Consists of eight variables, ohcjm2, ohc, thetao, so, si, po4, o2, no3. File structure are WOA_23/NOAA-NCEI-OCL/mon/no3/v20250903/no3_mon_WOA-23_REF_gn_200501-202212.nc \r\nPrimarily Argo floats (from 2005 onwards), and data acquired through IOC/IODE Global Oceanographic Data Archaeology and Rescue (GODAR) project and the World Ocean Database (WOD). Historical oceanographic temperature and salinity profile data from bottle samples (Reversing thermometers), Mechanical Bathy-thermographs (MBT), ship-deployed Conductivity-Temperature-Depth (CTD) packages, Digital Bathythermograph (DBT), Expendable Bathythermographs (XBT), Argo profiling floats, moored and drifting buoys, gliders, undulating oceanographic recorder (UOR), and pinniped mounted CTD sensors, and surface only data, ship-mounted thermosalinographs.", "creationDate": "2025-09-04T12:38:29.629169", "lastUpdatedDate": "2026-02-16T07:34:09.547877", "latestDataUpdateTime": "2025-09-04T12:38:29.629175", "updateFrequency": "notPlanned", "dataLineage": "Note this data only provides climatological means, calculated over 2005-2014 and 2015-2022. \r\nOriginal dataset proposed to obs4MIPs by Dora Hegedus for the Rapid Evaluation Framework (REF).\r\nDataset processed by Morgan Steckler (ORNL) to be obs4MIPs compliant using CMOR.", "removedDataReason": "", "keywords": "obs4MIPs,REF,ocean,atlas,argo,noaa,obs4REF,OCL", "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": 12948, "startTime": "2005-01-01T00:00:00", "endTime": "2022-12-31T00:00:00" }, "resultQuality": { "ob_id": 4791, "explanation": "CMORized to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modeled after obs4MIPs data on the ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 44848, "uuid": "78f5d23074814017ace83958cfc460e2", "short_code": "proj", "title": "World Ocean Database", "abstract": "The World Ocean Database (WOD) is world's largest collection of uniformly formatted, quality controlled, publicly available ocean profile data. It is a powerful tool for oceanographic, climatic, and environmental research, and the end result of more than 20 years of coordinated efforts to incorporate data from institutions, agencies, individual researchers, and data recovery initiatives into a single database. https://www.ncei.noaa.gov/products/world-ocean-database" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214779, 214780, 214781, 214782, 214783, 214784, 214785, 214786, 214787, 214788, 214789 ], "onlineresource_set": [ 94212, 94213 ] }, { "ob_id": 44851, "uuid": "7c017d7cbaca4c19b7f437d14d7906b9", "title": "WECANN-1-0 ", "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Carbon Mass Flux out of Atmosphere Due to Gross Primary Production on Land, Satellite (merged) dataset created by Columbia University. The dataset consists of the following variables, hfss, hfls, gpp. The folder structure for each variable are for example: \r\nWECANN-1-0/ColumbiaU/mon/gpp/v20250903/gpp_mon_WECANN-1-0_gn_200701-201512.nc", "creationDate": "2025-09-08T16:07:55.707671", "lastUpdatedDate": "2025-11-17T14:28:01.130351", "latestDataUpdateTime": "2025-09-08T16:07:55.707675", "updateFrequency": "notPlanned", "dataLineage": "Original merged satellite data produced by Colombia University, derived from water, energy, and carbon with artificial neural networks (input data from GOME-2, CERES, AIRS, ESA CCI Soil Moisture (merged SMMR, SSM/I, AMSR-E, ERS, ASCAT) . This dataset prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10.", "removedDataReason": "", "keywords": "Satellite,REF,obs4MIPs,global,climate,carbon,flux,GPP,SIF,SWE,obs4REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4875, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12797, "startTime": "2007-01-01T00:00:00", "endTime": "2015-12-31T00:00:00" }, "resultQuality": { "ob_id": 4796, "explanation": "CMORized to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modelled after obs4MIPs data in ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-09" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44852, "uuid": "364e3ddcf2f440d7b8dcfe97edb3990e", "short_code": "acq", "title": "Acquisition for: WECANN-1-0 ", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 19260, "uuid": "af7b7d3d918248dfbf2a8bec4ecb07ad", "short_code": "proj", "title": "Global Ozone Monitoring Experiment (GOME)", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard ERS-2. The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214813, 214814, 214815, 214816, 214817, 214818, 214819, 214820, 214821, 214822, 214823, 214824 ], "onlineresource_set": [ 94218, 94219 ] }, { "ob_id": 44853, "uuid": "23f870cbf4054a8ca930f3652a790fd6", "title": "RAPID-2023-1a", "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series. In-situ conductivity and temperature measurements using buoys equipped with MicroCATs. The dataset consists of the following variable; msftmz. The folder structure for the variable are RAPID-2023-1a/NOC/mon/msftmz/v20250903/msftmz_mon_RAPID_2023-1a_gn_200404-202302.nc", "creationDate": "2025-09-08T16:38:08.111793", "lastUpdatedDate": "2025-10-02T12:55:04.591795", "latestDataUpdateTime": "2025-09-08T16:38:08.111797", "updateFrequency": "notPlanned", "dataLineage": "Original in-situ observational data produced by NERC, NSF and NOAA, derived from RAPID array at 26.5N in the Atlantic Ocean, converted to monthly means. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10", "removedDataReason": "", "keywords": "RAPID,obs4MIPs,REF,MicroCAT,Meridional,Overturning,Transport,Atlantic,array,obs4REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4876, "bboxName": "", "eastBoundLongitude": 0.0, "westBoundLongitude": 80.0, "southBoundLatitude": 0.0, "northBoundLatitude": 26.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12697, "startTime": "2004-04-02T00:00:00", "endTime": "2023-02-11T00:00:00" }, "resultQuality": { "ob_id": 4795, "explanation": "CMORized to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modelled after obs4MIPs data in ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-09" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44854, "uuid": "1d4df717571548e893f238d6aec70e11", "short_code": "acq", "title": "Acquisition for: RAPID-2023-1a", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 19089, "uuid": "45c07d898be045cfbc5e0ec2076e3ada", "short_code": "proj", "title": "Rapid Climate Change (RAPID)", "abstract": "Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n\r\nThe specific scientific objectives of the RAPID programme were agreed by the Rapid Climate Change Steering Committee and are detailed in the RAPID Science Plan.\r\n\r\nApproximately £11M were awarded to proposals that were submitted in response to the RAPID First round of funding. Of this about £5M was committed to design a system to continuously monitor the strength and structure of the North Atlantic Meridional Overturning Circulation. This design effort was being matched by comparative funding from the US National Science Foundation (NSF) for collaborative projects reviewed jointly with the NERC proposals. This monitoring effort continued in the NERC-funded follow-on programme RAPID-WATCH 2008-20014.\r\n\r\nA 2nd and last round of funding was completed in 2005 with two parallel Announcements of Opportunity. A total of 5 bids were funded under the Joint International AO, with the Netherlands Organisation for Scientific Research and the Research Council of Norway, and 11 bids under the RAPID 2nd \"Science\" AO. \r\n\r\nDr Meric Srokosz was the Science Co-ordinator for the programme and Dr Val Byfield was the Deputy Science Co-ordinator, having taken over from Dr Christine Gommenginger from 1 April 2005. In autumn 2005 Dr. Craig Wallace joined the team as Knowledge Transfer co-ordinator." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214826, 214827, 214828, 214829, 214830, 214831, 214832, 214833, 214834, 214835, 214836 ], "onlineresource_set": [ 94220, 94221 ] }, { "ob_id": 44856, "uuid": "86fffb375c784e7b9013e3032baeaa4a", "title": "LORA-1-0", "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Total Runoff-OtherARC Centre of Excellence for Climate System Science in kg m-2 s-1. Observed streamflow from the following four sources: (i) the US Geological Survey (USGS) GAGES-II database (Falcone et al., 2010), (ii) the GRDB (http://www.bafg.de/GRDC/, last access: 1 June 2017), (iii) the Australian Peel et al. (2000) database, and (iv) the global Dai (2016) database. The dataset consists of the following variable; mrro. The folder structure for the variable is: LORA-1-0/ARCCSS/mon/mrro/v20250903/mrro_mon_LORA-1-0_REF_gn_198001-201212.nc", "creationDate": "2025-09-09T09:49:38.607376", "lastUpdatedDate": "2025-10-02T12:53:25.483845", "latestDataUpdateTime": "2025-09-09T09:49:38.607380", "updateFrequency": "notPlanned", "dataLineage": "Original in-situ observational data from gauged basins, ungauged basins, stream gauges converted to monthly means. 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The weighting method is based on the ability of the models to match observed streamflow data while accounting." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214839, 214840, 214841, 214842, 214843, 214844, 214845, 214846, 214847, 214848 ], "onlineresource_set": [ 94222, 94223, 94224 ] }, { "ob_id": 44858, "uuid": "7dc9cbafc2e64ea29740232daf83cf66", "title": "HWSD-2-0", "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Carbon Mass in Model Soil Pool-In-situ (gridded) FAO (Food and Agriculture Organization of the United Nations), data from soil sampling, soil maps in the Harnomised World Soil Database in kg m-2. The dataset consists of the following variable; cSoil. The folder structure for each variable are HWSD-2-0 /IIASA-FAO/fx/cSoil/v20250903/cSoil_fx_HWSD-2-0_fx_gn_2023.nc.", "creationDate": "2025-09-09T10:19:42.906118", "lastUpdatedDate": "2025-11-17T14:10:50.699963", "latestDataUpdateTime": "2025-09-09T10:19:42.906121", "updateFrequency": "notPlanned", "dataLineage": "Original in-situ observational data produced by FAO, converted to gridded monthly means. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10", "removedDataReason": "", "keywords": "soil,carbon,mass,pool,obs4MIPs,REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4878, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12793, "startTime": "2008-01-01T00:00:00", "endTime": "2023-01-31T00:00:00" }, "resultQuality": { "ob_id": 4801, "explanation": "CMORised to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modelled after obs4MIPs data in ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 44859, "uuid": "0083e48cccb9462c987af9860570bf3c", "short_code": "proj", "title": "Harmonized Wolrd Soil Database", "abstract": "The Harmonized World Soil Database version 2.0 (HWSD v2.0) is a unique global soil inventory providing information on the morphological, chemical and physical properties of soils at approximately 1 km resolution. Its main objective is to be useful for modelers and to serve as a basis for prospective studies on agroecological zoning, food security and the impacts of climate change. https://openknowledge.fao.org/items/85cc8895-e135-4c5b-94bb-a814e60a69ab" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214851, 214852, 214853, 214854, 214855, 214856, 214857, 214858, 214859, 214860 ], "onlineresource_set": [ 94225, 94226, 94227 ] }, { "ob_id": 44860, "uuid": "d6c4897ad35543cbaaa83cfde1d77fae", "title": "Hoffman-1-0", "abstract": "End-of-year CO2 concentrations of a combination of 75 year smoothed Law Dome ice core data [Etheridge et al., 1996] up to 1832, 20 year smoothed Law Dome ice core data for 1823–1958, the Keeling Mauna Loa record, with 0.59 ppm subtracted (which is the Mauna Loa mean minus the NOAA global mean over 1982–1986) for 1959–1981, and the NOAA global mean value for 1982–2008 [Conway et al., 1994]. Data produced by UCI-ORNL and , converted to Carbon Mass Flux Out Of Atmosphere Due To Net Biospheric Production On Land, Surface Downward Mass Flux of Carbon As CO2, in kg m-2 s-1. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10. The dataset consists of the following variables, nbp and fgco2. The folder structure for each variable are Hoffman-1-0/UCI-ORNL/yr/fgco2/v20250903/fgco2_yr_Hoffman-1-0_gm_1850-2010.nc", "creationDate": "2025-09-09T10:40:08.875123", "lastUpdatedDate": "2025-10-02T12:44:17.166350", "latestDataUpdateTime": "2025-09-09T10:40:08.875128", "updateFrequency": "notPlanned", "dataLineage": "Original dataset produced by UCI-ORNL. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10.", "removedDataReason": "", "keywords": "carbon,mass,REF,obs4MIPs,flux,NOAA,ice core,obs4REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4879, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12691, "startTime": "1850-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 4799, "explanation": "CMORized to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modleled after obs4MIPs data sitting in Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214863, 214864, 214865, 214866, 214867, 214868, 214869, 214870, 214871 ], "onlineresource_set": [ 94228, 94229 ] }, { "ob_id": 44861, "uuid": "74c200ab8ea54482bf1ad66738524d0c", "title": "CCI-CryoClim-FSC-1", "abstract": "Fractional snow cover (FSC); percentage of area in a grid cell covered by snow on land-Satellite (merged) in percent. Norwegian Computing Center, Norwegian Meteorological Institute, ESA CCI Snow project. Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). The dataset consists of the following variable; snc. The folder structure for the variable are CCI-CryoClim-FSC-1/mon/snc/v20250517/snc_mon_CCI-CryoClim-FSC-1_BE_gn_198201-201906.nc.", "creationDate": "2025-09-09T11:06:08.213801", "lastUpdatedDate": "2025-10-03T08:29:01.385749", "latestDataUpdateTime": "2025-09-09T11:06:08.213806", "updateFrequency": "notPlanned", "dataLineage": "Original satellite data converted to fractional snow cover in a grid cell by ESA CCI Snow project. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10", "removedDataReason": "", "keywords": "obs4MIPs,obs4REF,snow,cci,snc,ESA,CryoClim", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4880, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12706, "startTime": "1982-01-01T00:00:00", "endTime": "2023-12-31T00:00:00" }, "resultQuality": { "ob_id": 4800, "explanation": "CMORised to adhere to CF Conventions 1.12 and ODS 2.5, while still remaining compatible with ILAMB software. The file naming convention was modelled after obs4MIPs data in ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-09" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44862, "uuid": "ba4a47d8e7ac4bb28cf30036baa28473", "short_code": "acq", "title": "Acquisition for: CCI-CryoClim-FSC-1-0", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 30229, "uuid": "93cf539bc3004cc8b98006e69078d86b", "short_code": "proj", "title": "ESA Snow Climate Change Initiative (snow_cci)", "abstract": "The overarching goal of snow_cci is the generation of homogeneous, well calibrated, long-term time series of key snow cover parameters (snow area extent and snow mass) from multi-sensor satellite data for climate applications. A main motivation for this initiative are significant discrepancies in the climatologies, anomalies, and trends in global snow cover time series from different products, detected in the ESA QA4EO Satellite Snow Product Intercomparison and Evaluation project (SnowPEx).\r\n\r\nThe first phase of the project started in September 2018; the second phase started in February 2022. The third phase of the snow_cci project is planned to start in late 2025." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214872, 214873, 214874, 214875, 214876, 214877, 214878, 214879, 214880, 214881, 214882, 214883 ], "onlineresource_set": [ 94230, 94231 ] }, { "ob_id": 44863, "uuid": "32c35251febd44229b28ed288addab6c", "title": "SAGE-CCI-OMPS-8-0", "abstract": "Mole Fraction of O3-Satellite (merged) CMZM, Monthly zonal mean merged concentration product from limb sensors ACE, GOMOS, MIPAS, OMPS, OSIRIS, SAGE-2 and SCIAMACHY v0008. Directory format is SAGE-CCI-OMPS/mon/o3/v20250718/o3_mon_SAGE-CCI-OMPS-v0008_SAGE-CCI-OMPS-REF_gnz_198410-202212.nc", "creationDate": "2025-09-11T15:24:32.479849", "lastUpdatedDate": "2025-10-02T13:20:03.140747", "latestDataUpdateTime": "2025-09-11T15:24:32.479854", "updateFrequency": "notPlanned", "dataLineage": "Original merged dataset prepared by Finnish Meteorological Institute (BMI), then prepared for the REF using ESMValTool at DLR. Processed for obs4MIPs by CMIP IPO using CMOR", "removedDataReason": "", "keywords": "ozone,obs4MIPs,REF,mole,fraction,zonal,obs4REF", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4881, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12704, "startTime": "1984-10-01T00:00:00", "endTime": "2022-12-31T00:00:00" }, "resultQuality": { "ob_id": 4802, "explanation": "CMORised to adhere to CF Conventions 1.12 and ODS 2.5. File naming convention follows obs4MIPs data on the ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44864, "uuid": "83dbe587e9fb43478dfbe62e5516d1c2", "short_code": "acq", "title": "Acquisition for: SAGE-CCI-OMPS", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 19710, "uuid": "94d45555fd634aa6a03884e7a27a27e7", "short_code": "proj", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II)", "abstract": "The SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor was launched into a 57 degree inclination orbit aboard the Earth Radiation Budget Satellite (ERBS) in October 1984. During each sunrise and sunset encountered by the orbiting spacecraft, the instrument used the solar occultation technique to measure attenuated solar radiation through the Earth's limb in seven channels centered at wavelengths ranging from 0.385 to 1.02 micrometers and to measure stratospheric aerosols, ozone, nitrogen dioxide, and water vapor. \r\n\r\nThe data SAGE II collected were integral to confirming human-driven changes to ozone, and thus contributed to the 1987 Montreal Protocol that banned certain harmful chemicals. SAGE II observations helped to confirm that ozone ceased decreasing in response to this action.\r\n\r\nMajor results from SAGE II include illustrations of the stratospheric impact of the 1991 Mount Pinatubo eruption, identification of a negative global trend in lower stratospheric ozone during the 1980s, and quantitative verification of the positive water vapor feedback in current climate models.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214885, 214886, 214887, 214888, 214889, 214890, 214891, 214892, 214893, 214894 ], "onlineresource_set": [ 94232, 94233, 94234 ] }, { "ob_id": 44867, "uuid": "527ba062f6114669927bf93ccbd8631b", "title": "HighResMIP model simulations for high-resolution hydrological simulations over Peninsular Malaysia: using HadGEM3-GC3.1-HM for the IMPRESS-Malaysia project.", "abstract": "This dataset contains HighResMIP model simulations using the HadGEM3-GC3.1-HM model, interpolated to 612*672 grids at resolution of 0.008333333333° over Malaysia for inputs of high-resolution hydrological simulations for the period 1980-2050 (present-day: 1980-2014, future high-end SSPs scenario: 2015-2050).\r\n\r\nThese data were produced for the IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia) project. NE/S002707/1", "creationDate": "2025-09-17T15:43:00.632255", "lastUpdatedDate": "2025-09-17T15:35:42", "latestDataUpdateTime": "2025-09-17T15:35:42", "updateFrequency": "", "dataLineage": "Data were generated using the model simulations from the CMIP6 HighResMIP protocol by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NE/S002707/1, CMIP6 HighResMIP", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4882, "bboxName": "Bounding box for PerinMalay_HadGEM3", "eastBoundLongitude": 104.6, "westBoundLongitude": 99.5, "southBoundLatitude": 6.8, "northBoundLatitude": 1.2 }, "verticalExtent": null, "result_field": { "ob_id": 44866, "dataPath": "/badc/deposited2025/PeninMalay_HadGEM3_GC31_HM", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 336382186653, "numberOfFiles": 73, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12684, "startTime": "1980-01-01T00:00:00", "endTime": "2050-12-31T23:59:59" }, "resultQuality": { "ob_id": 4803, "explanation": "Data are as given by the data provider, no quality control has been perform ed by the Centre for Environmental Data Analysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44869, "uuid": "ff0f37f9cbca448da41a6849935d10a9", "short_code": "comp", "title": "Computation for HighResMIP model simulations for high-resolution hydrological simulations over Peninsular Malaysia: using HadGEM3-GC3.1-HM for the IMPRESS-Malaysia project.", "abstract": "Computation for HighResMIP model simulations for high-resolution hydrological simulations over Peninsular Malaysia: using HadGEM3-GC3.1-HM for the IMPRESS-Malaysia project. This used the HadGEM3-GC3.1-HM model." }, "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": 44868, "uuid": "53781a9dbe664f1ab6b3c8d8f27243de", "short_code": "proj", "title": "IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia)", "abstract": "IMPRESS-Malaysia is a NERC funded project to study the hydrological impacts of extreme precipitation over Malaysia.\r\n\r\nIn a warmer climate, the amount of precipitation is expected to increase, as warmer air can hold more water. At the regional level - where impacts are felt - patterns of change are less well understood due to uncertainty in the circulation response to warming. In addition to these changes in mean precipitation, increases in precipitation extremes may be considerable, and are expected to increase at around 7% per degree Celsius of warming. Extreme events frequently cause the greatest damage, making understanding the nature of changes in both the frequency and magnitude of such extremes a critical issue given their impact on society.\r\n\r\nIn Peninsular Malaysia, the majority of the annual total precipitation is produced by a relatively small number of intense events. These extreme precipitation events have been increasing in recent decades. They can lead to considerable damage through flooding, which can be enhanced by changes in land use. Annual, average annual flood losses are currently around RM 915 million in Malaysia. In a warmer climate, a shift to a more intense wet season (which is expected), with increased frequency of the most extreme events, may have significant implications for the hydrology of Peninsular Malaysia and associated impacts on society.\r\n\r\nThis project will investigate the dynamical features (e.g. tropical storms) that lead to extreme precipitation in Malaysia. It will study both their present-day behaviour and likely changes in the future. In doing so, it will achieve a dynamically constrained understanding of future extreme precipitation events. This represents a considerable advance on our current understanding of future changes in extreme precipitation in Malaysia. The project will then use this information to run a hydrological model to estimate future changes in streamflow, flood magnitudes and flood return periods. This model will include estimates of land use change which will also be developed as part of the project. Through this, information of unprecedented detail will be available to Malaysian government and society of the risks and impacts of future changes in extreme precipitation and associated changes in river flow. The project will also use this information to assess current intervention strategies and to develop a model of flood management which takes into account our improved understanding of flood risk. This information will be disseminated to a wide array of actors across government and civil society to ensure it has maximum impact. Ensuring that future infrastructural, societal and agricultural development in Malaysia is informed by prospective changes in key climate events is critical to successfully adapt to a warmer climate, whilst mitigating the impact of any changes on society and the economy of Malaysia. This project has the capacity to make a significant contribution to that aim.\r\n\r\nThe techniques developed as part of this project could be readily applied in other river basins and countries, such that the impact and longevity of this work could be far broader than the scope currently envisaged. The project partners intend to work with other collaborators to ensure that these broader benefits are realised. NE/S002707/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52192, 52193, 63011, 92141, 92142, 92143, 92144 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214909, 214910, 214911, 214914, 214906, 214907, 214908, 214915 ], "onlineresource_set": [] }, { "ob_id": 44870, "uuid": "fa4fe5160ca84acf919d4279fcf102c7", "title": "Ocean data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains ocean data for simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\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 in native CESM2 format. 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic 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/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "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": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of California Riverside at NCAR using the cheyenne supercomputer using the same native nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "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": 44020, "uuid": "b7c87e4dafcc486ba1eca2abac752abf", "short_code": "coll", "title": "CESM2 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. 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 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCESM2 is the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US." } ], "responsiblepartyinfo_set": [ 214919, 214920, 214921, 214923, 214922, 214925, 214924, 214926 ], "onlineresource_set": [ 94277, 94278, 94279 ] }, { "ob_id": 44871, "uuid": "4fcad04a4a224601875df64ceef48e26", "title": "Auchencorth Moss Atmospheric Observatory (AU): Annual half-hourly meteorology since 1995, Near Edinburgh, UK - Version 2", "abstract": "This version 2 dataset includes annual files of half-hourly meteorological observations made at Auchencorth Moss Atmospheric Observatory, near Edinburgh, UK. \r\n\r\nThe site was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep per hectare.\r\nDuring 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements but since 2014 we have been moving towards these standards as well as enhancing instrumentation.\r\nFrom 1995 to 2023 the dataset includes the following parameters at half hourly intervals, although not every variable is available for the whole period:\r\n-T_upper_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_lower_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_RHT_Avg - Temperature measured by a Vailsala relative humidity and temperature probe.\r\n-RH_RHT_Avg - Relative humidity measured by a Vailsala relative humidity and temperature probe.\r\n-P_Avg - atmospheric pressure at the sites elevation.\r\n-Tot_Solar_Avg - Total solar radiation measured by a Skye SKS1110.\r\n-PAR_Avg - Photosynthetically Averaged Radiation measured by a Skye SKP215.\r\n-NetRad_Avg - Net radiation, Kipp & Zonen NrLite.\r\n-Rainfall - tipping bucket rainfall.\r\n-SoilTavg - Average soil temperature from four type-E thermocouple probes.\r\n-Soil Heat Flux - calculated from two measurements of soil heat flux with Hukseflux HFP01 plates, corrected to surface flux using the standard formula.\r\n-Cs = Bd(Cd+fSWC.Cw)\r\n-SC = DTs.Cs.d/Dtime\r\n-SHF = Plate Average + SC\r\n-DTs = change in average soil temperature from start to end of measurement period (first and last two minutes); d = plate depth 0.2 m; Bd = soil bulk density, 100 kg m-3; cd = Specific Heat Dry Soil, 840J kg-1 K-1; fSWC = fractional soil water content, measured or 0.9; cw = Specific Capacilty Heat of Water, 4190 J kg-1 K-1; Dtime = measurement period, 1800 s\r\n-Soil Moisture - soil water content measured with TDR probes, campbell CS616\r\n-WindSpd (measured) - measured by a Gill R3 then Windmaster sonic anemometer at 3.6 m\r\n-WindSpd 10 m - for most of the time period this is estimated from the turbulence measurements and 3.6 m windspeed but from 22/06/2016 a Gill Windsonic 2D anemeometer measures at 10 m\r\n-Wind Dir - measured by the sonic anemometer at 3.6 m\r\n-snow_depth_Avg - Campbell Scientific SR50A-L Sonic Ranging Sensor\r\n-Present Weather - Vaisala FD12P Present Weather Sensor\r\n-1 hr Past Weather - Vaisala FD12P Present Weather Sensor\r\n-Visibility - Vaisala FD12P Present Weather Sensor\r\n-Evaporation - to be estimated from the water-vapour flux measurements\r\n\r\nIn September 2025 the 1995-2023 data were revised to correct some errors in the original submission. These revised data are labelled version 2 and supercede the previous data.\r\n The key changes are:\r\n-\tSimplified data set with no fully gap-filled time series or modelled evaporation\r\n-\tSoil heat flux changed to measured average without storage correction (this is very uncertain on peat and caused spurious noise in the data)\r\n-\tWater table depth now reported in m, below the surface to match ICOS standards. Positive values indicate depth below the surface while negative values are above the surface\r\n\r\nIn November 2021 the site was officially labelled as an ICOS ecosystem station (https://meta.icos-cp.eu/resources/stations/ES_UK-AMo) as part of this process the meteorological instruments and their data processing system were modified to comply with ICOS requirements. From 2024 the data submitted to CEDA is modified to align with this system. For continuity data from the same sensors are submitted but there are some modifications:\r\n\r\n•\tAir Temperature average (TA_4_1_1, oC); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tRelative Humidity average (RH_4_1_1, %); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tPressure average (PA_4_1_1, kPa); barometric pressure at the site's altitude from Vaisala PTB110\r\n•\tTotal incident solar radiation average (RG_4_1_0, Wm-2); Skye SKS1110 thermopile pyranometer\r\n•\tPhotosynthetically Active Radiation average (PPFD_IN_4_1_1, umolm-2s-1); Skye SKP215 thermopile sensor\r\n•\tNet radiation (RN_5_1_1, Wm-2); Kipp & Zonen NRLite2, compact sensor gives single output\r\n•\tRainfall (P_13_1_1, mm); ARG314 Tipping bucket measurement\r\n•\tSoil temperature average, (TS, oC), Campbell Scientific Type-E thermocouple averaging probes or average of readings from Campbell Scientific CS616 soil moisture sensors\r\n•\tSoil Heat Flux (G, Wm-2), average of flux monitoring plates at several locations, Hukseflux HFP01-SC\r\n•\tSoil water content (same as soil moisture) (SWC, %); average of TDR probes, Campbell CS616 at several locations\r\n•\tWind speed 10 m (WS_6_1_1, ms-1); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tWind direction (WD_6_1_1, oN); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tSnow depth (D_SNOW, m) sonic snow depth sensor, Campbell Scientifc SR50AH\r\n•\twater table depth, (WTD, m); Druck PCR 1830, distance to water table from the average surface level (negative above the surface)\r\n•\tPresent_Weather (WMO4680 Code – Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\t1 hour Past Weather (1_hr_Past_Weather, WMO4680 Code) - Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\tVisibility (Visibility, m) Optical measurement from Biral VPF50 gapfilled with Vaisala FD12P PWS scaled so to match the maximum from the Biral sensor", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "annually", "dataLineage": "The site was established in 1995 and all sensors where logged using Campbell Scientific data loggers, instruments were checked regularly but not calibrated or assessed against others until 2005. Since the site has become affiliated with WMO and ICOS procedures and instruments are being modernised. This data set has been reviewed against data from colocated equivalent instruments onsite or nearby (withing ~7 km). The data was first received into the CEDA archive in 2017 with an update added each year.", "removedDataReason": "", "keywords": "Auchencorth Moss, Meteorology, Temperature, Rainfall, Wind Speed, ICOS, ICOS-UK", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-09-23T12:01:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1867, "bboxName": "Auchencorth Moss", "eastBoundLongitude": -3.245, "westBoundLongitude": -3.245, "southBoundLatitude": 55.793, "northBoundLatitude": 55.793 }, "verticalExtent": null, "result_field": { "ob_id": 44872, "dataPath": "/badc/auchencorth/data/auchencorth_moss_met/v2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 84792484, "numberOfFiles": 31, "fileFormat": "BADC-CSV" }, "timePeriod": { "ob_id": 6787, "startTime": "1995-02-18T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4804, "explanation": "Data quality as supplied by the project team. No quality checks have been carried out by CEDA.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-23" }, "validTimePeriod": { "ob_id": 6786, "startTime": "1995-02-18T00:00:00", "endTime": null }, "procedureAcquisition": { "ob_id": 25085, "uuid": "320e3f48d917488ebbda633a0885a1b8", "short_code": "acq", "title": "Auchencorth Moss Atmospheric Observatory (AU)", "abstract": "The site was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep ha^-1.\r\n During 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System)." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 132 ], "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": 25088, "uuid": "3b93f94481a841f68bc1ce1e975e3ead", "short_code": "proj", "title": "Auchencorth Moss Atmospheric Observatory (AU) and associated Field sites", "abstract": "During 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\n\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements but since 2014 we have been moving towards these standards as well as enhancing instrumentation. Similar measurements are also made at nearby Easter Bush Field site by the same team." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 88580, 88583, 88584, 88586, 88588, 88589, 88590, 88591, 88592, 88593, 88594, 88595, 88596, 88597, 88598, 88599, 88600, 88606, 88608, 88610, 88611, 88613, 88614, 88615, 88616, 88618, 88619, 88620, 88621, 88622, 88623, 88625, 88626, 88628, 88629, 88630, 88632, 88633, 88636, 88637, 88638, 88639, 88640, 88641, 88642, 88643, 88644, 88645, 88646, 88647, 88648, 88649, 88650, 88651, 88652, 88653, 88654, 88655, 88656, 88657, 88658, 88659, 92303, 92304, 92305 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 214927, 214928, 214929, 214930, 214931, 214932, 214933, 214935, 214939, 214934, 214937, 214938, 214940, 214941, 214947, 214948, 214950, 214951 ], "onlineresource_set": [ 94280 ] }, { "ob_id": 44874, "uuid": "a2ac22ae97a34b51a81c8f53d414ec6b", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): TROPOMI monthly mean level 3 tropospheric nitrogen dioxide (NO2) version 1.0 May 2018- December 2021", "abstract": "The dataset was produced as part of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). https://doi.org/10.5194/essd-17-4627-2025\r\n\r\nTROPOspheric Monitoring Instrument (TROPOMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from May 2018 to December 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxilliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution.", "creationDate": "2025-09-29T08:36:02.791060", "lastUpdatedDate": "2025-09-29T08:36:02", "latestDataUpdateTime": "2025-09-29T08:36:02", "updateFrequency": "notPlanned", "dataLineage": "The L3 data were generated by spatiotemporally averaging operational TROPOMI L2 NO2 v2.3.1 data as part of the ESA CCI precursors project. Data was provided to CEDA for archival.", "removedDataReason": "", "keywords": "TROPOMI,L3,NO2", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12685, "startTime": "2018-05-01T00:00:00", "endTime": "2021-12-31T00:00:00" }, "resultQuality": { "ob_id": 4805, "explanation": "The L3 were validated against independent groud-based NO2 measurements (Glissenaar et al., 2025).", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-09-29" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 45265, "uuid": "09229538315d4f2d88ef2c0183fb1276", "short_code": "cmppr", "title": "Composite process for the ESA Precursors for Aerosols and Ozone Climate Change Initiative TROPOMI monthly mean level 3 tropospheric nitrogen dioxide (NO2) version 1.0 May 2018- December 2021", "abstract": "L3 data were generated by spatiotemporally averaging operational TROPOMI L2 NO2 v2.3.1 data as part of the ESA CCI precursors project\r\n\r\nTROPOspheric Monitoring Instrument (TROPOMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from May 2018 to December 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxilliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution." }, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 45106, "uuid": "48df3bc5abf34360b4acf1343c2bbc77", "short_code": "proj", "title": "ESA Precursors Climate Change Initiative Project (Precursors CCI)", "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45107, "uuid": "48f377e4674a49e28b43a513addaad01", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors CCI) Dataset Collection", "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).\r\n\r\nWorking in close liaison with climate data users, the project focuses on building consistent/harmonised long term multi-satellite mission climate data records from satellite instruments including GOME, SCIAMACHY, GOME-2, OMI, TROPOMI, IASI, and MOPITT.\r\n\r\nThe resulting datasets will include both single sensor level-2 and level-3 gridded products but also unique multi-sensor merged data series covering, for some variables, almost 3 decades of observations. These products will be fully documented according to CCI standards, and generated in a common data format following the netCDF CF metadata conventions." } ], "responsiblepartyinfo_set": [ 214963, 214964, 214965, 214966, 214967, 214968, 214969, 216545, 214970, 214971, 214972, 214973 ], "onlineresource_set": [ 95110, 94484, 94485, 94282 ] }, { "ob_id": 44877, "uuid": "a79fcb9ab0c443fc86d453cc064759b1", "title": "ForestScan project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022, Version 2.0", "abstract": "This dataset contains point cloud data (a set of data points in a 3D coordinate system) which were collected using a RIEGL miniVUX1-DL LiDAR scanner mounted on a DELAIR DT26X Unpiloted Aerial Vehicle (UAV). The data was collected in June 2022 as part of the ForestScan project. The person responsible for the data collection was Dr. Iain McNicol from the University of Edinburgh, who collected and processed the data.", "creationDate": "2023-11-06T20:00:46.659796", "lastUpdatedDate": "2023-11-06T19:55:00", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Revised metadata was also provided by the project team. This dataset was reprocessed by Iain McNichol from an older version in order to correct the UTM metadata information in all files and to replace a corrupted file.", "removedDataReason": "", "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates, Carbon estimates, Forest structure, Tree segmentation, 3D tree structure", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-10-13T07:24:56", "doiPublishedTime": "2025-10-13T08:03:31", "removedDataTime": null, "geographicExtent": { "ob_id": 4712, "bboxName": "FBRMS-02: Station d’Etudes des Gorilles", "eastBoundLongitude": -0.1896, "westBoundLongitude": -0.1896, "southBoundLatitude": 11.5918, "northBoundLatitude": 11.5918 }, "verticalExtent": null, "result_field": { "ob_id": 44878, "dataPath": "/neodc/forestscan/data/gabon/lope/ForestScan_Lope_UAV_LS_new", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16439599314, "numberOfFiles": 152, "fileFormat": ".laz files, the LAZ (LASzip) file format is a compressed version of the LAS (LIDAR Aerial Survey)" }, "timePeriod": { "ob_id": 12162, "startTime": "2022-06-01T00:00:00", "endTime": "2022-06-12T18:33:05" }, "resultQuality": { "ob_id": 4682, "explanation": "Data quality control conducted by ForestScan project team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-16" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43651, "uuid": "0e5edec3208d43b3a198728778105b40", "short_code": "acq", "title": "Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022", "abstract": "ForestScan project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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": 40337, "uuid": "3da9f666e3ea4bb3af9cca064f05d3af", "short_code": "proj", "title": "ForestScan Project: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data", "abstract": "The ForestScan project was conceived to evaluate new technologies for characterizing forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). It is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and is part of GEO-TREES, an international consortium dedicated to establishing a global network of Forest Biomass Reference Measurement Sites (FBRMS) to support EO and encourage investment in relevant field-based observations and science. ForestScan is the first demonstration of what can be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of E-derived AGB estimates.\r\n\r\nWe present data from the ForestScan project, a unique multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unpiloted aerial vehicle LiDAR scanning (UAV-LS), airborne LiDAR scanning (ALS), and in-situ tree census and ancillary data. These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.\r\n\r\nData are presented for three FBRMS: FBRMS-01: Paracou, French Guiana; FBRMS-02: Lopé, Gabon; and FBRMS-03: Kabili-Sepilok, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection. We also provide detailed data collection protocols and recommendations for TLS, UAV-LS, and plot census measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates. We outline the requirements and challenges for field data collection for each data type and discuss the practical considerations for establishing new FBRMS or upgrading existing sites to FBRMS standard, including insights into the associated costs and benefits.\r\n\r\nThe ForestScan Project was funded under ESA contract: 4000126857/20/NL/AI" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13561 ], "observationcollection_set": [ { "ob_id": 40623, "uuid": "88a8620229014e0ebacf0606b302112d", "short_code": "coll", "title": "ForestScan Collection", "abstract": "This collection is part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. The collection contains a multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unoccupied aerial vehicle LiDAR scanning (UAV-LS), airborne laser scanning (ALS), and in-situ tree census and ancillary data. ForestScan was conceived to evaluate new technologies for characterising forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.\r\n\r\nData are presented for the first three Forest Biomass Research Monitoring Sites in Paracou Research Station in French Guiana; Station d'Etudes des Gorilles et Chimpanzes, Lopé National Park in Gabon; and Kabili-Sepilok Forest Reserve, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, unmanned aerial vehicle-based laser scanning (UAV-LS) and airborne laser scanning (ALS) where possible, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection.\r\n\r\nWe also provide detailed field data collection protocols for TLS, UAV-LS, and ALS measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates.\r\n\r\nThe ForestScan project is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and GEO-TREES, a new Group on Earth Observations (GEO) initiative aimed at establishing a network of FBRM sites. ForestScan is the first demonstration of what could be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of EO-derived AGB estimates" } ], "responsiblepartyinfo_set": [ 214981, 214982, 214983, 214984, 214985, 214978, 214979, 214980, 214986, 214987, 214988, 214989 ], "onlineresource_set": [ 94283 ] }, { "ob_id": 44880, "uuid": "9de6ce8cbda54fb3b5864c82b9851fba", "title": "Model output containing ocean and sea ice variables from GO6 eORCA1 (1948-2009)", "abstract": "This dataset contains monthly means of ocean and sea ice variables from a 61-year (1948-2009) integration of the GO6 model configuration at 1° horizontal resolution. The ocean output fields on T, U, V, and W grids and the sea ice fields are provided in separate files. The ocean component is on a 1° grid (eORCA1) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009) for five cycles of the forcing: the present dataset only contains the final cycle. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under reference NE/N018036/1.", "creationDate": "2025-10-06T13:56:59.111432", "lastUpdatedDate": "2025-10-06T13:47:28", "latestDataUpdateTime": "2025-10-06T13:47:28", "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": "oceans, geoscientificInformation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-10-02T11:52:37", "doiPublishedTime": "2025-10-02T11:52:37", "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": 44882, "dataPath": "/bodc/soc250967/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 474444492380, "numberOfFiles": 5210, "fileFormat": "NetCDF files and readme text file" }, "timePeriod": { "ob_id": 12708, "startTime": "1948-01-01T00:00:00", "endTime": "2009-12-31T23:59:59" }, "resultQuality": { "ob_id": 4807, "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": "2025-10-06" }, "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": [ 2638, 2639, 18124, 36269, 36324, 36331, 36334, 36337, 41071, 50571, 50612, 50616, 50623, 50624, 53098, 53099, 53100, 53102, 53103, 53104, 54483, 54847, 59485, 59486, 59487, 59488, 59489, 59490, 59491, 59492, 59493, 59494, 59495, 59496, 59497, 59498, 59499, 59500, 59501, 59502, 59503, 59504, 59505, 59506, 59507, 59508, 59509, 59511, 59513, 59514, 59515, 59516, 59517, 59518, 59519, 59520, 59521, 59522, 59523, 59524, 59525, 59526, 59528, 59529, 59530, 59532, 59533, 59534, 59535, 59536, 59538, 59539, 59540, 59541, 59542, 59543, 59544, 59545, 59546, 59547, 59548, 59549, 59550, 59551, 59552, 59553, 59554, 59555, 59556, 59557, 59558, 59559, 59560, 59561, 59562, 59563, 59564, 59565, 59566, 59567, 59568, 59569, 59570, 59571, 59572, 59573, 59574, 59575, 59577, 59578, 59579, 59580, 59581, 59582, 59583, 59584, 59585, 59586, 59587, 59588, 59589, 59590, 59591, 59592, 59593, 59594, 59595, 59596, 59597, 59598, 59599, 59601, 59602, 59603, 59604, 59605, 59606, 59607, 59610, 59611, 59612, 59613, 59614, 59617, 59618, 59619, 59620, 59621, 59622, 59624, 59625, 59626, 59627, 59628, 59629, 59630, 59631, 59632, 59637, 59638, 59639, 59640, 59641, 59642, 59643, 59644, 59645, 59646, 59647, 59648, 59649, 59650, 59651, 59652, 59653, 59654, 59655, 59656, 59657, 59658, 59659, 59660, 59661, 59662, 59663, 59664, 59665, 59666, 59667, 59668, 59669, 59670, 59671, 59672, 59673, 59675, 59677, 59679, 59680, 59681, 59684, 59692, 59693, 59694, 59695, 59696, 59698, 59704, 59705, 59706, 59707, 59709, 59710, 59711, 59712, 59713, 59714, 59715, 59716, 59717, 59718, 59719, 59720, 59721, 59722, 59736, 59737, 59738, 59739, 59740, 59742, 59745, 59747, 59748, 59749, 59753, 59754, 59755, 59756, 59757, 59758, 59759, 59760, 59761, 59762, 59763, 59764, 59765, 59766, 59767, 59768, 59769, 59770, 59771, 59772, 59773, 59774, 59775, 59776, 59777, 59778, 59779, 59780, 59781, 59782, 59783, 59784, 59785, 59786, 59787, 59788, 59789, 59790, 59791, 59792, 62290, 62291, 75373, 75401, 75410, 75414, 75424, 75427, 80919, 80920, 80923, 80925, 80926, 80930, 80932, 80938, 80939, 80941, 80942, 83053, 86799, 92306, 92307, 92308, 92309, 92310, 92311, 92312, 92313, 92314, 92315, 92316, 92317, 92318, 92319, 92320, 92321, 92322, 92323, 92324, 92325, 92326, 92327, 92328, 92329, 92330, 92331, 92332, 92333, 92334, 92335, 92336, 92337, 92338, 92339, 92340, 92341, 92342, 92343, 92344, 92345, 92346, 92347, 92348, 92349, 92350, 92351, 92352, 92353, 92354, 92355, 92356, 92357, 92358, 92359, 92360, 92361, 92362, 92363, 92364 ], "vocabularyKeywords": [], "identifier_set": [ 13557 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215001, 215002, 215010, 215012, 215011, 214998, 215000, 215003, 214999, 215014, 215015, 215013 ], "onlineresource_set": [ 94284, 94285 ] }, { "ob_id": 44881, "uuid": "5fc1654297a04b4e81819fa13c19c718", "title": "Model output containing ocean and sea ice variables from GO6 eORCA025 (1948-2009)", "abstract": "This dataset contains monthly means of ocean and sea ice variables from a 61 year (1948-2009) integration of the GO6 model configuration at 1/4° horizontal resolution. The ocean output fields on T, U, V, and W grids and the sea ice fields are provided in separate files. The ocean component is on a 1/4° grid (eORCA025) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009) for five cycles of the forcing: the present dataset only contains the final cycle. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under grant reference NE/N018036/1.", "creationDate": "2025-10-06T14:00:33.940573", "lastUpdatedDate": "2025-10-06T13:36:09", "latestDataUpdateTime": "2025-10-06T13:36:09", "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": "oceans, sea-ice, temperature, salinity, geoscientificInformation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.25°", "status": "final", "dataPublishedTime": "2025-10-06T08:42:05", "doiPublishedTime": "2025-10-06T08:42:05", "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": 44879, "dataPath": "/bodc/soc250968", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6256286774682, "numberOfFiles": 5210, "fileFormat": "netCDF files and readme text file" }, "timePeriod": { "ob_id": 12707, "startTime": "1948-01-01T00:00:00", "endTime": "2009-12-31T23:59:59" }, "resultQuality": { "ob_id": 3732, "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": "2021-07-02" }, "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": [ 2638, 2639, 18124, 36269, 36324, 36331, 36334, 36337, 41071, 50571, 50612, 50616, 50623, 50624, 53098, 53099, 53100, 53102, 53103, 53104, 54483, 54847, 59485, 59486, 59487, 59488, 59489, 59490, 59491, 59492, 59493, 59494, 59495, 59496, 59497, 59498, 59499, 59500, 59501, 59502, 59503, 59504, 59505, 59506, 59507, 59508, 59509, 59511, 59513, 59514, 59515, 59516, 59517, 59518, 59519, 59520, 59521, 59522, 59523, 59524, 59525, 59526, 59528, 59529, 59530, 59532, 59533, 59534, 59535, 59536, 59538, 59539, 59540, 59541, 59542, 59543, 59544, 59545, 59546, 59547, 59548, 59549, 59550, 59551, 59552, 59553, 59554, 59555, 59556, 59557, 59558, 59559, 59560, 59561, 59562, 59563, 59564, 59565, 59566, 59567, 59568, 59569, 59570, 59571, 59572, 59573, 59574, 59575, 59577, 59578, 59579, 59580, 59581, 59582, 59583, 59584, 59585, 59586, 59587, 59588, 59589, 59590, 59591, 59592, 59593, 59594, 59595, 59596, 59597, 59598, 59599, 59601, 59602, 59603, 59604, 59605, 59606, 59607, 59610, 59611, 59612, 59613, 59614, 59617, 59618, 59619, 59620, 59621, 59622, 59624, 59625, 59626, 59627, 59628, 59629, 59630, 59631, 59632, 59637, 59638, 59639, 59640, 59641, 59642, 59643, 59644, 59645, 59646, 59647, 59648, 59649, 59650, 59651, 59652, 59653, 59654, 59655, 59656, 59657, 59658, 59659, 59660, 59661, 59662, 59663, 59664, 59665, 59666, 59667, 59668, 59669, 59670, 59671, 59672, 59673, 59675, 59677, 59679, 59680, 59681, 59684, 59692, 59693, 59694, 59695, 59696, 59698, 59704, 59705, 59706, 59707, 59709, 59710, 59711, 59712, 59713, 59714, 59715, 59716, 59717, 59718, 59719, 59720, 59721, 59722, 59736, 59737, 59738, 59739, 59740, 59742, 59745, 59747, 59748, 59749, 59753, 59754, 59755, 59756, 59757, 59758, 59759, 59760, 59761, 59762, 59763, 59764, 59765, 59766, 59767, 59768, 59769, 59770, 59771, 59772, 59773, 59774, 59775, 59776, 59777, 59778, 59779, 59780, 59781, 59782, 59783, 59784, 59785, 59786, 59787, 59788, 59789, 59790, 59791, 59792, 62290, 62291, 75373, 75401, 75410, 75414, 75424, 75427, 80919, 80920, 80923, 80925, 80926, 80930, 80932, 80938, 80939, 80941, 80942, 83053, 86799, 92306, 92307, 92308, 92309, 92310, 92311, 92312, 92313, 92314, 92315, 92316, 92317, 92318, 92319, 92320, 92321, 92322, 92323, 92324, 92325, 92326, 92327, 92328, 92329, 92330, 92331, 92332, 92333, 92334, 92335, 92336, 92337, 92338, 92339, 92340, 92341, 92342, 92343, 92344, 92345, 92346, 92347, 92348, 92349, 92350, 92351, 92352, 92353, 92354, 92355, 92356, 92357, 92358, 92359, 92360, 92361, 92362, 92363, 92364 ], "vocabularyKeywords": [], "identifier_set": [ 13558 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215007, 215004, 215005, 215006, 215009, 215016, 215017, 215018, 215019, 215008, 215020, 215021 ], "onlineresource_set": [ 94286, 94287 ] }, { "ob_id": 44883, "uuid": "f913ac73da154aebb5b6cf61fb9eb5e2", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1 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. 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 5.1 Grid was released in June 2025, updated from IBCAO Version 5.\r\n\r\nThe bathymetric grid released in IBCAO Version 5.1 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5.1 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5.1 grid without Greenland ice sheet data is also available. IBCAO Version 5.1 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": "2025-10-08T10:02:57", "latestDataUpdateTime": null, "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 5.1 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).", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-10-08T10:02:57", "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": 44884, "dataPath": "/bodc/gebco/ibcao/ibcao_v5.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 171432894476, "numberOfFiles": 69, "fileFormat": ".tiff; .zip; .pdf; .txt" }, "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": 12100, "startTime": "2024-07-01T00:00:00", "endTime": null }, "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": [], "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": [ 215023, 215024, 215025, 215026, 215027, 215028, 215029, 215022 ], "onlineresource_set": [] }, { "ob_id": 44885, "uuid": "d9e29477c4914e70af19ee467c6864ab", "title": "EOCIS: CHUK Coastal Zone Water Colour (OLCI) V1.0", "abstract": "This dataset contains CHUK Coastal Zone Water Colour data produced within the Earth Observation Climate Information Service (EOCIS) project. EOCIS Sentinel 3 Coastal Ocean Colour provides ocean colour data at the local scale with a resolution of 300 m.", "creationDate": "2025-03-20T10:19:46.902595", "lastUpdatedDate": "2025-03-20T10:20:15", "latestDataUpdateTime": null, "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, Reflectance, OLCI", "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": [ 215224, 215030, 215031, 215032, 215033, 215034, 215035, 215036, 215037, 217126, 217127, 217128 ], "onlineresource_set": [] }, { "ob_id": 44886, "uuid": "390382ad401d4ff4a037bbe00f4c7a29", "title": "EOCIS: CHUK Coastal Zone Water Colour (MSI) V2.0", "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. 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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": [ 215038, 215039, 215040, 215041, 215042, 215043, 215044, 215045 ], "onlineresource_set": [] }, { "ob_id": 44887, "uuid": "2a579d7de854423b92b08e32b4596133", "title": "CALIPSO-ICECLOUD-1-0", "abstract": "Mass fraction of cloud-ice from satellite. A Level 3 Monthly Gridded Ice Cloud Dataset Derived from a Decade of CALIOP Measurements, then processed in ESMValTool, before final processing with CMOR3.10 to be consistent with obs4MIPs. Missing data due to topography for pressure levels1000hPa-550hPa, as data is given on pressure levels not hybrid or sigma levels. File structure NASA-LaRC/CALIPSO-ICECLOUD-1-0/mon/cli/100/v20251008/, Filename: cli-mon_CALIPSO-ICECLOUD-1-0_DLR_gn_200701-201512", "creationDate": "2025-10-09T08:34:18.370114", "lastUpdatedDate": "2025-10-09T08:42:16.377508", "latestDataUpdateTime": "2025-10-09T08:34:18.370118", "updateFrequency": "notPlanned", "dataLineage": "Original dataset prepared by David Winker at NASA-LaRC from the CALIOP instrument output. ESMValTool (Axel Lauer and Lisa Bock) and Dora Hegedus acknowledged for the preparation of this dataset for obs4MIPs. Paul Smith at IPO re-processed to using CMOR3.190 to be available for the obs4REF database.", "removedDataReason": "", "keywords": "obs4MIPs,obs4REF,CALIOP,CALIPSO,cli,NASA", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4885, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 84.0, "northBoundLatitude": 84.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12714, "startTime": "2007-01-01T00:00:00", "endTime": "2015-12-31T00:00:00" }, "resultQuality": { "ob_id": 4809, "explanation": "2025-10-08 CMOR rewrote data to be consistent with obs4MIPs, and CF-1.11; ODS-2.5 standards", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-10-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215046, 215047, 215048, 215049, 215050, 215051, 215052, 215053, 215054, 215055, 215056, 215057, 215058, 215059 ], "onlineresource_set": [ 94288, 94289 ] }, { "ob_id": 44888, "uuid": "1d2b498e981f4bcfb46c1f3c5923b122", "title": "GloSAT model experiments : UKESM1-1-LL simulations covering the period 1750-2014 - variables and derived variables analysed in the paper Ballinger et al (2025)", "abstract": "The Global Surface Air Temperature (GloSAT) model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL UK Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\nThe simulations were run under the NERC funded project GloSAT. NE/S015647/2\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters, 650, accepted.\r\n\r\nThis data set contains the variables and derived variables analysed in the paper Ballinger et al (2025)\r\nThese variables are taken from the 3 new model experiments described in this publication, which are\r\n\r\n6 ensembles with all forcings 1750-2014, described as historical1750\r\n4 ensembles with anthropogenic only forcing, 1750-1910, described as historicalANT1750\r\n1 preindustrial control simulation run using 1750 constant forcing described as piControl1750\r\n\r\nThe 4 variables which have been archived here in netcdf format were those used in the publication:\r\ntas - surface air temperature\r\nthetao - ocean temperature\r\nAMOC - Atlantic meridional streamflow\r\nSurfaceTypes - vegetation types", "creationDate": "2025-10-09T15:41:54.282350", "lastUpdatedDate": "2025-10-10T13:24:58", "latestDataUpdateTime": "2025-10-09T15:41:54", "updateFrequency": "notPlanned", "dataLineage": "This work used the ARCHER2 UK National Supercomputing Service, and Monsoon2, a collaborative High-Performance Computing facility funded by the Met Office and the Natural Environment Research Council, and JASMIN, the UK collaborative data analysis facility.\r\n\r\nUKESM1.1 simulations were performed on the HPC by Dr A. Schurer with data processed on JASMIN by Dr A Ballinger and Dr A Schurer.\r\n\r\nData were then uploaded to the CEDA archive.", "removedDataReason": "", "keywords": "GloSAT,climate model,UKESM1.1-LL", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-18T14:44:06", "doiPublishedTime": "2025-12-18T16:25:14", "removedDataTime": null, "geographicExtent": { "ob_id": 4886, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44918, "dataPath": "/badc/glosat/data/GloSAT_UKESM_1_1-LL", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378747381366, "numberOfFiles": 267, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12724, "startTime": "1750-01-01T00:00:00", "endTime": "2014-12-31T00:00:00" }, "resultQuality": { "ob_id": 4810, "explanation": "Model simulations were double-check by co-authors during the simulation process.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-10-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44917, "uuid": "09f6377c9f344f1ba0e92ce082c69e42", "short_code": "comp", "title": "UK Earth System Model (UKESM) version 1, UKESM1-1-LL model run for GloSAT project.", "abstract": "The GloSAT model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters,\r\n650, accepted." }, "procedureCompositeProcess": null, "imageDetails": [ 236 ], "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": 44102, "uuid": "528e0655f87d4e1a8a98993befb0e685", "short_code": "proj", "title": "Global Surface Air Temperature (GloSAT)", "abstract": "The goal of the GloSAT project was to develop, extend and analyse a consistent record of observed global surface temperatures to help scientists better understand how the Earth's climate has changed since the late 18th century. GloSAT developed a temperature record based on in situ air temperature observations over land and ocean. Prior instrumental records of global mean surface temperature change combine air temperature over land and terrestrial ice-covered regions with sea surface temperature readings, typically with start dates around the mid-19th century. GloSAT extends the instrumental global temperature record further back to the late 18th century through use of marine air temperature measurements, combined with improved understanding of measurement uncertainties affecting land and ocean data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 6023, 18124, 19039, 19043, 36269, 36324, 36331, 50623, 50624, 51186, 51187, 52761, 54847, 54871, 54875, 59637, 59654, 59736, 60149, 60153, 62353, 66241, 68475, 86799, 92525, 92526, 92527, 92528 ], "vocabularyKeywords": [], "identifier_set": [ 13683 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215060, 215061, 215062, 215063, 215064, 215065, 215068, 215952, 215069, 215070, 215215, 215216, 215217, 215218 ], "onlineresource_set": [ 94291 ] }, { "ob_id": 44890, "uuid": "5edb22d9f7d04b0a89595a9e760b6656", "title": "Multiscale benthic images collected by Autonomous Underwater Vehicle during expedition JC257 in the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024.", "abstract": "A collection of 52,771 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4130 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M094, the AUV was programmed to replicate parallel 1-to-2 km long transect lines in four sites spaced by an array of scales, located 0, 15, 30, 100 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. These images were colour-corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The image set includes images collected above 1.6 m and below 3 m altitude, which was corrected for the lever-arm corrected AUV pitch. 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": "2025-10-10T08:22:27.169971", "lastUpdatedDate": "2025-10-10T08:22:27", "latestDataUpdateTime": "2025-10-10T08:22:27", "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": "2025-10-08T11:15:10", "doiPublishedTime": "2025-10-08T11:15:10", "removedDataTime": null, "geographicExtent": { "ob_id": 4887, "bboxName": "", "eastBoundLongitude": -116.0838424, "westBoundLongitude": -116.5389156, "southBoundLatitude": 13.06930238, "northBoundLatitude": 13.94029504 }, "verticalExtent": null, "result_field": { "ob_id": 44889, "dataPath": "/bodc/soc250982", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": null }, "timePeriod": { "ob_id": 12721, "startTime": "2024-03-06T00:00:00", "endTime": "2024-03-12T23:59:59" }, "resultQuality": { "ob_id": 4811, "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": "2025-10-10" }, "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": [ 13559 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215076, 215075, 215074, 215073, 215072, 215071, 215077, 215078, 215079, 215080, 215081, 215082 ], "onlineresource_set": [] }, { "ob_id": 44891, "uuid": "1e2e65cfea3d409693c44a5e70e1b266", "title": "European Windstorm Events with Damage Potential ", "abstract": "This data set contains an event set of over 790,000 high impact European windstorms from six seasonal hindcast ensemble suites, representative of about 19,500 model years. These tracks are produced based on the objective tracking as created by Leckebusch et al. (2008) under the approach pioneered by Osinski et al. (2016) for pure ensemble system or UNSEEN events (Thompson et al., 2017). Details on the event-based tracking and the respectively introduced objective storm severity index (SSI) can be found in Leckebusch et al. (2008). Details on the pure ensembles or UNSEEN approach can be found in Osinski et al. (2016) and Thompson et al. (2017).", "creationDate": "2025-10-10T09:32:54.520582", "lastUpdatedDate": "2025-10-10T09:33:22.353290", "latestDataUpdateTime": "2025-10-10T09:32:54.520587", "updateFrequency": "notPlanned", "dataLineage": "Source data was downloaded from C3S and ECMWF MARS.\r\nTracking was done at University of Birmingham via its HPC (BlueBEAR).", "removedDataReason": "", "keywords": "Windstorm,Impact", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4888, "bboxName": "", "eastBoundLongitude": 40.0, "westBoundLongitude": 110.0, "southBoundLatitude": 20.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12723, "startTime": "1993-12-01T00:00:00", "endTime": "2016-02-28T00:00:00" }, "resultQuality": { "ob_id": 4812, "explanation": "Cf. references", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-10-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 44897, "uuid": "199d3b6c94e74a3b9175605fbbaf8933", "short_code": "cmppr", "title": "Composite Process for European Windstorm Events with Damage Potential ", "abstract": "Composite process covering Acquisition for: European Windstorm Events with Damage Potential and Windstorm Tracks." }, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 44892, "uuid": "cf3852670bc2474ba22c221e6a353730", "short_code": "proj", "title": "Exploring the boundary of skilful seasonal forecasts for extreme storms over the North-Atlantic", "abstract": "The aim of EX-Storms is to explore the boundary of skilful seasonal predictions for extremely rare, but devastating winter windstorms caused by the most intense extra-tropical cyclones over the North-Atlantic and Europe. This data set relates to objective 1 of the project to significantly increase the sample size and thus the ability to analyse extreme rare events in a physically consistent way with the novel UNSEEN approach for ensemble hindcasts." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215083, 215084, 215085, 215086, 215087, 215088, 215089, 215090, 215091 ], "onlineresource_set": [] }, { "ob_id": 44898, "uuid": "198c482992514c77b5d307fffa796dcd", "title": "OSISAF-V3", "abstract": "Monthly Sea Ice Concentration Climate Data Record Version 3 from the EUMETSAT OSI SAF, with R&D input from ESA CCI, prepared for obs4MIPS by MET Norway, \r\nThis climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms, 2) correction of atmospheric noise using a Radiative Transfer Model, 3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). NOTE: v20251013_NH and v20251013_SH files for northern and southern hemisphere respectively. \r\noutput filename = variable_id/frequency/source_id/variant_label/grid_label\r\noutput filepath = activity_id/institution_id/source_id/frequency/variable_id/nominal_resolution/version", "creationDate": "2025-10-13T11:23:57.474960", "lastUpdatedDate": "2025-10-13T11:29:17.320572", "latestDataUpdateTime": "2025-10-13T11:23:57.474964", "updateFrequency": "notPlanned", "dataLineage": "Original dataset prepared by MET Norway. That data then processed by DLR using ESMValTool into northern hemisphere and southern hemisphere datasets. CMIP IPO regridded data to a 0.5 x 0.5 lat x lon gird and CMORised using CMOR for northern and southern hemisphere yearly data.", "removedDataReason": "", "keywords": "OSI,SAF,sic,obs4MIPs,obs4REF,sea ice,GCMDSK,sea ice concentration", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4889, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12728, "startTime": "1979-01-01T00:00:00", "endTime": "2020-12-31T00:00:00" }, "resultQuality": { "ob_id": 4814, "explanation": "CMORised to adhere to CF Conventions 1.12 and ODS 2.5. File naming convention follows obs4MIPs data on the ESGF Metagrid.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-10-13" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44899, "uuid": "5cdc89048bdb473e8c4c372b3e65b971", "short_code": "acq", "title": "Acquisition for: OSISAF-V3", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. 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": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215100, 215101, 215102, 215103, 215104, 215105, 215106, 215107, 215108, 215109, 215110, 215111 ], "onlineresource_set": [ 94290 ] }, { "ob_id": 44900, "uuid": "9e3310577b994d1ca525b3bb3b2aa19e", "title": "UKESM1-CH4 output under current legislation and global methane pledge scenarios", "abstract": "This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model (Folberth et al. 2022, DOI:10.1029/2021MS002982). The simulation follows the experimental design of the SSP2-4.5 Shared Socioeconomic Pathway, except with methane emissions following the current legislation scenario from the ECLIPSEv6b inventory, and a global methane pledge scenario where emissions are reduced globally by 30%, with a heterogeneous reduction regionally. These simulation span 2016-2049 and use a coupled atmosphere-ocean climate model. The data comprise annual mean output over the experimental period for ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget. Mean daily 8h maximum ozone is also provided for 2049.", "creationDate": "2025-10-14T08:37:18.164523", "lastUpdatedDate": "2025-10-14T08:40:15", "latestDataUpdateTime": "2025-10-14T08:37:18", "updateFrequency": "notPlanned", "dataLineage": "Model output from UKESM1-CH4, annual means and MDA8h calculation for ozone (daily maximum 8-hour average concentration).", "removedDataReason": "", "keywords": "methane,global methane pledge,air quality", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-10-17T13:29:43", "doiPublishedTime": "2025-10-20T15:32:26.145070", "removedDataTime": null, "geographicExtent": { "ob_id": 4890, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44916, "dataPath": "/badc/deposited2025/ukesm1-ch4_GMP", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5170610088, "numberOfFiles": 17, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12731, "startTime": "2016-01-01T00:00:00", "endTime": "2049-12-31T00:00:00" }, "resultQuality": { "ob_id": 4816, "explanation": "Model output has only been checked for CF convention compliance, otherwise supplied as-is, organised by variable.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-10-14" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 39993, "uuid": "ce22aec236b44835acdc9914fecb930a", "short_code": "comp", "title": "UKESM1 deployed on UK supercomputing platform MONSooN", "abstract": "UKESM1 Earth System Model described in Sellar et al. (2019) (DOI:10.1029/2019MS001739) at N96 horizontal resolution over global domain run on UK supercomputing platform MONSooN." }, "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": 44901, "uuid": "1f6f8b16d21442a6a8c2924f57095cd6", "short_code": "proj", "title": "NERC C-CLEAR DTP", "abstract": "Part of PhD project funded by NERC C-CLEAR DTP" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 19039, 19043, 21990, 22005, 30362, 30363, 39014, 51186, 51187, 54871, 54872, 54873, 54874, 54880, 54881, 62353, 66241, 92016, 92365 ], "vocabularyKeywords": [], "identifier_set": [ 13563 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215113, 215114, 215115, 215116, 215117, 215118, 215120, 215214, 215121, 215122 ], "onlineresource_set": [ 94315 ] }, { "ob_id": 44902, "uuid": "f60cd72eae8b409fbfe4aa84aa04e97b", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2025, v3.4.3.2025f", "abstract": "This is the final version, v3.4.3.2025f, of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data. The parent dataset of HadISD, the Integrated Surface Database at NOAA, stopped being updated on 29th August 2025. Therefore there will be no further updates to this dataset, and the final year will remain incomplete, going up to 29th August 2025 only\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_19310101-20250829_v3-4-3-2025f. 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": "2025-10-06T09:15:57", "latestDataUpdateTime": null, "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": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-11-17T17:10:37", "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": 44903, "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-4-3-2025f/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59655470271, "numberOfFiles": 10419, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12732, "startTime": "1931-01-01T00:00:00", "endTime": "2025-08-29T23:59:59" }, "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. 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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. A number of other variables are also carried through to the final NetCDF files, but have not been quality controlled (e.g. precipitation period, precipitation depth, sunshine duration)." } ], "responsiblepartyinfo_set": [ 215125, 215126, 215127, 215128, 215129, 215130, 215131, 215132, 215133, 215134, 215135, 215136 ], "onlineresource_set": [ 94292, 94293, 94294, 94295, 94296, 94297, 94298, 94299, 94300 ] }, { "ob_id": 44904, "uuid": "c193345436994160befa8bb32e46c39f", "title": "Copernicus Land Monitoring Service Land Cover 2020, version 1", "abstract": "Provides at the global level information on different types (classes) of physical coverage of the Earth's surface, e.g. tree cover, grasslands, croplands, permanent water bodies, wetlands at 10 m spatial resolution for the 2020 base year. The data are updated annually and will be available for the 2020-2026 years. This dataset builds upon initiatives like the 100 m Copernicus Global Land Cover layers (2015-2019) and offers enhanced spatial detail that facilitates more effective monitoring of global land cover changes, including deforestation, urbanization, and other environmental transformations. 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The workflow consists of four main stages: input data ingestion, pre-processing, modeling, and finally post-processing of output products.\r\n\r\nInput data ingestion:\r\n\r\nCopernicus Sentinel-1 L3 Monthly Mosaics·\r\nCopernicus Sentinel-2 L2A·\r\nCopernicus GLO-30 Digital Elevation Model (DEM)\r\nAgERA5 V1\r\nLand Cover Map Training Data (LCM-TD)\r\nPre-processing:\r\n\r\nDeep-learning (DL) based clouds detection: Land Occlusion Score (LOS) product\r\nLOS weighted compositing and timeseries interpolation\r\nLSF-ANNUAL-S2 and LSF-ANNUAL-S1 extraction\r\nAncillary data preparation: AgERA5 climatic regions embeddings processing\r\nModelling: The backbone to produce the LCM-10 layers is EvoNet, a novel algorithm that integrates the strengths of convolutional neural networks (CNNs) and pixel-based classifiers into a unified framework. EvoNet avoids the inefficiencies of conventional approaches that either rely on multiple regional models, requiring complex post-processing, or exclusively use CNNs or pixel classifiers, each of which has limitations. CNNs excel in generalization but struggle with fine spatial details, while pixel classifiers offer high spatial resolution but are prone to noise and overfitting. The core innovation of EvoNet lies in unifying these strengths with its dual architecture: a CNN-based spatial feature extractor and a multi-layer perceptron (MLP) pixel classifier. \r\n\r\nPost-processing: expert rules polishing and tiling of the final product." }, "imageDetails": [ 148 ], "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": 12321, "uuid": "7896ea1117dc4fa9bb95485ca9b1c6be", "short_code": "proj", "title": "Copernicus Programme", "abstract": "Copernicus, formerly known as the Global Monitoring for Environment and Security (GMES) programme, is headed by the European Commission (EC) in partnership with the European Space Agency (ESA). Within the Copernicus Space Component, ESA is developing a series of Sentinel satellite missions. Data from the Sentinel missions, as well as from Contributing Missions from other space agencies, are made freely available through a unified ground segment. Each Sentinel mission is comprised of a constallation of two or more satellites to fulfil the timeliness and reliability requirements of the Copernicus Services environmental monitoring and civil security activities. As well as operational and monitoring capabilities, the Sentinel missions will provide a wealth of Earth Observation data for scientific exploitation. The Sentinel 1 mission provides all weather, day and night radar imagery with scientific applications in sea-ice measurements, biomass observations and earthquake analysis. Sentinel 2 is a high resolution imaging mission to provide imagery of vegetation, soil and water cover, inland waterways and coastal areas. Sentinel 3 is a multi-instrument mission to measure sea-surface topography, sea- and land-surface temperature, ocean colour and land colour with high-end accuracy and reliability. Sentinel 4 is devoted to atmospheric monitoring and will be flown on a Meteosat Third Generation-Sounder (MTG-S) satellite in geostationary orbit. Sentinel 5 will monitor the atmosphere from polar orbit on board a MetOp Second Generation satellite. The Sentinel 5 precursor satellite mission is being developed to reduce data gaps between Envisat, in particular the Sciamachy instrument, and the launch of Sentinel 5. The Sentinel 5 mission will be dedicated to atmospheric monitoring. Sentinel 6 carries a radar altimeter to measure global sea-surface height, primarily for operational oceanography and for climate studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215137, 215138, 215139, 215140, 215141, 215142, 215143, 215144 ], "onlineresource_set": [ 94301, 94302, 94303, 94304, 94305 ] }, { "ob_id": 44909, "uuid": "559901afef54425f8e755f9305d0af3a", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-A NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-A (Meteorological operational satellite-A) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. 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Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d", "creationDate": "2025-10-16T09:18:21.661515", "lastUpdatedDate": "2025-10-16T09:13:34", "latestDataUpdateTime": "2025-10-16T09:13:34", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "ESA, CCI, Precursors, Ammonia, aerosol precursors, satellite, observation, atmosphere, ammonia, NH3, level 3, total column, agriculture, fertilizers, livestock, biomass burning, industrial emissions, air quality, IASI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T10:39:57", "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": 45299, "dataPath": "/neodc/esacci/precursors/data/IASI_NH3_L3/v4R/METOP-A/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16232040881, "numberOfFiles": 170, "fileFormat": "netcdf" }, "timePeriod": { "ob_id": 12913, "startTime": "2007-10-01T00:00:00", "endTime": "2021-10-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 45270, "uuid": "7e15a34786ea4c25ad9451d988fa2841", "short_code": "cmppr", "title": "Composite process of the gridded ammonia (NH3) monthly L3 data from IASI/Metop-A", "abstract": "This long-term dataset has been created from the ANNI version 4 NH3 L2 data retrieved from IASI/Metop-A data. 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Full documentation can be found on the project website is https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. 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Full documentation can be found on the project website at https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d", "creationDate": "2025-10-16T09:18:21.661515", "lastUpdatedDate": "2025-10-16T09:13:34", "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": "ESA, CCI, Precursors, Ammonia, aerosol precursors, satellite, observation, atmosphere, ammonia, NH3, level 3, total column, agriculture, fertilizers, livestock, biomass burning, industrial emissions, air quality, IASI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T10:39:36", "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": 45302, "dataPath": "/neodc/esacci/precursors/data/IASI_NH3_L3/v4R/MERGED", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20851154049, "numberOfFiles": 214, "fileFormat": "netcdf" }, "timePeriod": { "ob_id": 12916, "startTime": "2007-10-01T00:00:00", "endTime": "2025-06-30T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 45279, "uuid": "f10fd7cff9594506a3e26309904336ae", "short_code": "cmppr", "title": "Composite process of the gridded ammonia (NH3) monthly L3 data from IASI/Metop-A/B/C.", "abstract": "This long-term dataset has been created from the ANNI version 4 NH3 L2 data retrieved from IASI/Metop-A/B/C data. Detailed information on the L2 algorithm can be found in Clarisse et al. (2023). Detailed information on the L3 algorithm can be found in the Algorithm Theoretical Basis Document." }, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2674, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 105, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_precursors_for_aerosols_and_ozone_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 45106, "uuid": "48df3bc5abf34360b4acf1343c2bbc77", "short_code": "proj", "title": "ESA Precursors Climate Change Initiative Project (Precursors CCI)", "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 51186, 51187, 62501, 92775, 92776, 92777, 92778, 92779, 92780, 92781, 92782, 92783, 92784, 92785, 92786, 92787, 92788, 92789, 92790, 92791, 92792, 92793, 92794, 92795, 92796, 92797 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44908, "uuid": "463862326d574951bea52527f9df397d", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors project IASI (Infrared Atmospheric Sounding Interferometer) NH3 (Ammonia) L3 (Level 3) data products.\r\n\r\nProducts included in this collection are:\r\n- IASI/Metop-A NH3 L3 product\r\n- IASI/Metop-B NH3 L3 product\r\n- IASI/Metop-C NH3 L3 product\r\n- IASI NH3 L3 merged product\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format." }, { "ob_id": 45107, "uuid": "48f377e4674a49e28b43a513addaad01", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors CCI) Dataset Collection", "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).\r\n\r\nWorking in close liaison with climate data users, the project focuses on building consistent/harmonised long term multi-satellite mission climate data records from satellite instruments including GOME, SCIAMACHY, GOME-2, OMI, TROPOMI, IASI, and MOPITT.\r\n\r\nThe resulting datasets will include both single sensor level-2 and level-3 gridded products but also unique multi-sensor merged data series covering, for some variables, almost 3 decades of observations. These products will be fully documented according to CCI standards, and generated in a common data format following the netCDF CF metadata conventions." } ], "responsiblepartyinfo_set": [ 215180, 215181, 215182, 215183, 215184, 215185, 215186, 215187, 216575, 216576 ], "onlineresource_set": [ 95148, 94482, 94483, 95120, 95121, 95122 ] }, { "ob_id": 44914, "uuid": "db75c5f51ee240ae8743355dcebbb9b9", "title": "ESA Fire Climate Change Initiative (FireCCI): Harmonised FireCCI Burned Area Grid product, version 6.0 (FireCCI60)", "abstract": "To be updated.", "creationDate": "2025-10-16T10:56:54.914750", "lastUpdatedDate": "2025-10-16T10:55:43", "latestDataUpdateTime": "2025-10-16T10:55:43", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change, GCOS", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "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": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215202, 215203, 215204, 215205, 215206, 215207, 215208, 215209 ], "onlineresource_set": [] }, { "ob_id": 44919, "uuid": "5b60369c5a444de1af5149a1968cbaa2", "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-1 Campaign 2001.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Beech B200T Super King Air Aircraft for the first CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-1) Campaign based in Adelaide, Australia, during September 2001 \r\nThe dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio plus LiDAR measurements of the cirrus cloud made by the Aberystwyth vertical pointing depolarisation lidar system.\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. 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Jim Whiteway (University of Wales, Aberystwyth) supplied the dataset to the BADC in 2004.\r\nThe dataset was restructured, empty and duplicate files removed, and spaces removed from filenames by CEDA in 2025", "removedDataReason": "", "keywords": "CWVC, EMERALD, Ozone, LIDAR, DIAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-14T16:15:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4895, "bboxName": "Adelaide-CWVC-EMERALD", "eastBoundLongitude": 139.0, "westBoundLongitude": 130.5, "southBoundLatitude": -35.0, "northBoundLatitude": -30.0 }, "verticalExtent": null, "result_field": { "ob_id": 44944, "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-1/KINGAIR-data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1389557946, "numberOfFiles": 51151, "fileFormat": "Various, ASCII" }, "timePeriod": { "ob_id": 12735, "startTime": "2001-09-02T00:00:00", "endTime": "2001-09-27T23:00:00" }, "resultQuality": { "ob_id": 652, "explanation": "No quality conformance information available", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-16" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44920, "uuid": "36b70acb18504fb0a2fcb4021f999891", "short_code": "acq", "title": "Acquisition Process for: ARA Beech B200T Super King Air Aircraft - for the CWVC-EMERALD Campaign", "abstract": "Instruments on the ARA ARA Beech B200T Super King Air Aircraft flying below cirrus clouds" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 868, "uuid": "152babd9550d869a896ae26f37452154", "short_code": "proj", "title": "CWVC - Clouds, Water Vapour and Climate - NERC Research Programme", "abstract": "The Clouds, Water Vapour and Climate programme was a five-year NERC directed mode research programme. 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These data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." } ], "responsiblepartyinfo_set": [ 215229, 215230, 215232, 215233, 215234, 215236, 215235, 215231, 215237 ], "onlineresource_set": [ 94329 ] }, { "ob_id": 44921, "uuid": "b687c4d9dd374aafb3034efe005c0ee5", "title": "GLAMOUR: Global building morphology dataset for urban climate modelling (2020)", "abstract": "The GLobAl building MOrphology dataset for URban hydroclimate modelling (GLAMOUR) is derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009° across urbanized areas worldwide (approximately 100 m at the equator) across 13189 urban areas globally from 01/01/2020 to 31/12/2020. This dataset optimally leverages multi-task DL (MTDL) models, publicly accessible satellite images in conjunction with the Google Cloud ecosystem to enable efficient and accurate large-scale mapping. This building morphology dataset provides an unprecedented possibility for enabling various urban hydroclimate applications at a global scale, including human thermal comfort simulation, building energy modelling, 3D flood risk analysis among others. \r\n\r\nData are netCDF formatted and contain the following variables:\r\n - BH: building height (m)\r\n - BF: building footprint (m2 m-2)\r\n\r\nEach file is named following the convention: `GLAMOUR_{lon_start}_{lon_end}_{lat_start}_{lat_end}.nc`, where:\r\n - {lon_start} and {lon_end} are the longitude coordinates of the lower-left and upper-right corners of the grid, respectively.\r\n - {lat_start} and {lat_end} are the latitude coordinates of the lower-left and upper-right corners of the grid, respectively.", "creationDate": "2025-10-23T14:45:39.352742", "lastUpdatedDate": "2025-10-23T14:45:39", "latestDataUpdateTime": "2025-10-23T14:45:39", "updateFrequency": "notPlanned", "dataLineage": "GLAMOUR is produced using a multi-task deep learning model SHAFTS based on Sentinel-1 and Sentinel-2 satellite images. The SHAFTS model is trained on a large-scale dataset of building footprints and heights from OpenStreetMap and Google Earth Engine. The SHAFTS model is then used to predict building footprints and heights for urban areas identified based population density outlined by the Gridded Population of the World, Version 4 (GPWv4) dataset and the Global Human Settlement-Urban Centre Database (GHS-UCDB).", "removedDataReason": "", "keywords": "GLAMOUR,Building morphology,Hydroclimate modelling", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": "2025-11-06T14:35:20", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4891, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -55.0, "northBoundLatitude": 72.0 }, "verticalExtent": null, "result_field": { "ob_id": 44924, "dataPath": "/badc/deposited2025/GLAMOUR", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1255955369, "numberOfFiles": 261, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12736, "startTime": "2020-01-01T00:00:00", "endTime": "2020-12-31T00:00:00" }, "resultQuality": { "ob_id": 4818, "explanation": "The GLAMOUR dataset is derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009° across urbanized areas worldwide. 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Evaluation in 46 cities worldwide shows that SHAFTS achieves significant improvement over existing machine-learning-based methods." }, "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": 44922, "uuid": "52430f9919de4701b3513491fe119cb5", "short_code": "proj", "title": "Building Resilient Cities for Heat Waves", "abstract": "This NERC Independent Research Fellowship project employs both modelling and observational approaches to investigate the urban-atmospheric interactions as well as the urban surface energy balance under heatwaves.\r\nThe project aims to develop a comprehensive understanding of the urban-atmospheric interactions and the urban surface energy balance under heatwaves, and to provide a new dataset of building morphology for urban climate modelling." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 32072, 57405, 57406, 63367, 92546, 92547 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215238, 215239, 215240, 215241, 215242, 215243, 215245, 215250, 215244 ], "onlineresource_set": [ 94322, 94323 ] }, { "ob_id": 44925, "uuid": "286697ad3d0047868a72a6aac441b850", "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-2 Campaign 2002.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Beech B200T Super King Air Aircraft for the second CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-2) Campaign based in Darwin, Australia, during November and December 2002.\r\n\r\nThe dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio plus LiDAR measurements of the cirrus cloud made by the Aberystwyth vertical pointing depolarisation lidar system.\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA King Air aircraft flew below cirrus clouds looking up in conjunction with the ARA Grob Egrett T520 aircraft which flew above looking down. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Airborne Research Australia Beech B200T Super King Air aircraft based in Adelaide during November and December 2002. Jim Whiteway (University of Wales, Aberystwyth) supplied the dataset to the BADC in 2004.\r\nThe dataset was restructured, empty and duplicate files removed, and spaces removed from filenames by CEDA in 2025", "removedDataReason": "", "keywords": "CWVC, EMERALD, Ozone, LIDAR, DIAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-14T16:15:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4896, "bboxName": "Darwin-CWVC-EMERALD", "eastBoundLongitude": 139.0, "westBoundLongitude": 130.5, "southBoundLatitude": -17.0, "northBoundLatitude": -10.0 }, "verticalExtent": null, "result_field": { "ob_id": 44947, "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-2/KINGAIR-data:", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Various, ASCII" }, "timePeriod": { "ob_id": 12737, "startTime": "2002-11-12T00:00:00", "endTime": "2002-12-02T23:59:59" }, "resultQuality": { "ob_id": 652, "explanation": "No quality conformance information available", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-16" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 44920, "uuid": "36b70acb18504fb0a2fcb4021f999891", "short_code": "acq", "title": "Acquisition Process for: ARA Beech B200T Super King Air Aircraft - for the CWVC-EMERALD Campaign", "abstract": "Instruments on the ARA ARA Beech B200T Super King Air Aircraft flying below cirrus clouds" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 868, "uuid": "152babd9550d869a896ae26f37452154", "short_code": "proj", "title": "CWVC - Clouds, Water Vapour and Climate - NERC Research Programme", "abstract": "The Clouds, Water Vapour and Climate programme was a five-year NERC directed mode research programme. 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The dataset is processed for a north-south transect from Finland to South-Africa, as well as for a set of globally distributed sites that is representative for all biomes and for those sites where in-situ reference data is available.\r\n\r\nThe temporal resolution of both datasets is 5 days, but is computed using data selected from a symmetric 10-days window. The data are not smoothed in time. The transect is ordered in tiles following the PROBA-V tiling definition. These files contain the fully validated layers of (effective) LAI, fAPAR, their uncertainties and the correlation between both. The sites additionally include the variables Chlorophyll a+b leaf pigment concentration (Cab), the fraction of Chlorophyll Absorbed Photosynthetically Active Radiation (fAPAR_Cab) and Surface Albedo calculated as bi-hemispheric reflectance (BHR) for diffuse illumination with a reference spectrum for spectral broadband intervals visible wavelengths (VIS, 400-700 nm), near-infrared wavelengths (NIR, 700-2500 nm), and for the combined shortwave range (SW, 400-2500 nm), as well as directional-hemispherical reflectance (DHR) for the same spectral broadbands, computed for local solar noon. These additional variables are not validated.\r\n\r\nFurther details about the data, including validation and intercomparison with similar datasets, can be found in the PDF documentation.", "creationDate": "2023-09-29T15:57:45.503019", "lastUpdatedDate": "2023-12-18T16:25:43", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data was produced by the ESA Vegetation Parameters CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal project.", "removedDataReason": "", "keywords": "ESA, CCI, Vegetation, LAI, fAPAR, climate change, GCOS", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 3994, "bboxName": "", 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GAVIA AUV geoswath data was collected from the Liverpool Bay area (Irish Sea) during a RV Prince Madog cruise in June 2023. Three days of survey took place on the 18th, 21st and 22nd of June 2023. The processing of the bathymetry data was done in Teledyne CARIS software (v11), with the HIPS toolkit, in order to produce gridded depth/elevation layers in CSAR/BAG format. Further processing of the data files was done in GIS (Geographic Information System) software to remove suspect depth data points, to give a 'NoTrees' output. The output format of the files from this was '.img', which is GIS ready. The sidescan output was processed in Chesapeake Technology software SonarWiz (v7) and has had EGN (Empirical Gain Normalization) applied (calculated from the day's sidescan output). The data has then been output as 8-bit grey scales in '.tif ' (GeoTiff) format. The resolution of bathymetry output is mainly 25cm (some resolutions are 50cm). The sidescan output is also mainly 25cm resolution (some resolutions are 10cm). The MarineTools toolbox, mentioned in the 'readme' file, is available on the National Oceanography Centre website under the AtlantiS (Atlantic Climate and Environment Strategic Science) project. These data were produced as part of the Natural Environment Research Council (NERC) funded project 'Ecological implications of accelerated seabed mobility around windfarms' (EcoWind-ACCELERATE), with grant number NE/X008886/1, by scientists from the National Oceanography Centre (NOC) and Scottish Association for Marine Science (SAMS).", "creationDate": "2025-11-03T13:47:00.972634", "lastUpdatedDate": null, "latestDataUpdateTime": "2025-10-29T08:31:42", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied to the British Oceanographic Data Centre. 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This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "creationDate": "2025-11-12T15:32:46.080261", "lastUpdatedDate": "2025-11-12T15:32:46.080271", "latestDataUpdateTime": "2025-11-12T15:32:46.080276", "updateFrequency": "daily", "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). 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The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50358, 50359, 50360, 50361, 50362, 50363, 50365, 50366, 50367, 50368, 50370, 50371, 50372, 50373, 62345, 62346, 62347 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "short_code": "coll", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. 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