Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=11600
{ "count": 11656, "next": null, "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11500", "results": [ { "ob_id": 45889, "uuid": "68a908d12dc84b2a9fa3251fac695f87", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/aerosol_optical_depth/SLSTR/L3C/monthly/v1.14", "numberOfFiles": 190, "volume": 34308490082, "fileFormat": "The data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45881, "uuid": "96388e7a347b4a5fa287f012eb5d6920", "short_code": "ob", "title": "EOCIS: CHUK Aerosol Optical Depth, Monthly L3C Product, v1.14", "abstract": "This dataset contains Climate High resolution UK (CHUK) Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites (https://catalogue.ceda.ac.uk/uuid/17d83baf50a644d89a4fb78ca6cccec1/) Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited on a monthly timescale. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset." }, "onlineresource_set": [] }, { "ob_id": 45890, "uuid": "1be9c0e3de884e208f2db01256212c66", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/particulate_matter/SLSTR/L3C/daily/v1.14", "numberOfFiles": 4663, "volume": 70032665795, "fileFormat": "The data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43742, "uuid": "e6c4000905f346438f4c4c8d674b1637", "short_code": "ob", "title": "EOCIS: CHUK Particulate Matter (PM2.5, PM10), Daily L3C Product, v1.14", "abstract": "This dataset contains Particulate Matter (PM2.5, PM10) data produced within the Earth Observation Climate Information Service (EOCIS) project. These data are produced by a machine learning algorithm that combines inputs from satellite, in-situ and analysis data sources. The algorithm generates measurements of the particulate matter (PM) at sizes smaller than 2.5 µm (PM2.5) and 10 µm (PM10). Original level 2 retrievals in the UK region have been reprojected from the instrument swath onto the Climate High-resolution grid for the UK (CHUK) at 100m resolution and composited over daily and monthly timescales. Two versions of each variable are included: with and without the post-processing filtering that is used in the global AOD dataset that is used as an input." }, "onlineresource_set": [] }, { "ob_id": 45891, "uuid": "6d9f292878d44747a51378955e13792e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/particulate_matter/SLSTR/L3C/monthly/v1.14", "numberOfFiles": 136, "volume": 21382335252, "fileFormat": "The data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45882, "uuid": "809e67dc32ac4679a5d6a18a35551213", "short_code": "ob", "title": "EOCIS: CHUK Particulate Matter (PM2.5, PM10), Monthly L3C Product, v1.14", "abstract": "This dataset contains Particulate Matter (PM2.5, PM10) data produced within the Earth Observation Climate Information Service (EOCIS) project. These data are produced by a machine learning algorithm that combines inputs from satellite, in-situ and analysis data sources. The algorithm generates measurements of the particulate matter (PM) at sizes smaller than 2.5 µm (PM2.5) and 10 µm (PM10). Original level 2 retrievals in the UK region have been reprojected from the instrument swath onto the Climate High-resolution grid for the UK (CHUK) at 100m resolution and composited over daily and monthly timescales. Two versions of each variable are included: with and without the post-processing filtering that is used in the global AOD dataset that is used as an input." }, "onlineresource_set": [] }, { "ob_id": 45897, "uuid": "bfe2e63925ad4f47b60c18dc78657d70", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/coastal_zone_watercolour/olci_300m/v1.0/", "numberOfFiles": 1, "volume": 775, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44885, "uuid": "d9e29477c4914e70af19ee467c6864ab", "short_code": "ob", "title": "EOCIS: CHUK Coastal Zone Water Colour (OLCI) V1.0", "abstract": "This dataset contains daily gridded water colour data for the coastal waters around the UK, derived from the OLCI (Ocean and Land Colour Insturment) on the Sentinel 3A and 3B satellites. It was produced within the Earth Observation Climate Inforemation Service (EOCIS) project as one of their high resolution UK (CHUK) datasets. \r\n\r\nData are provided on a 0.0026 degree (300m) latitude, longitude grid." }, "onlineresource_set": [] }, { "ob_id": 45898, "uuid": "cd77e98b14fa49c18baec947de710274", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/coastal_zone_watercolour/msi_100m/v1.0/", "numberOfFiles": 4543, "volume": 594671255684, "fileFormat": "Data are in NetCDF and GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43667, "uuid": "a70dedb97d604856a810f2ef9801a883", "short_code": "ob", "title": "EOCIS: CHUK Coastal Zone Water Colour (MSI) V1.0", "abstract": "This dataset contains gridded coastal zone water colour data for the local region around the United Kingdom with a spatial resolution of 100m, derived from the Multispectral Insturment (MSI) on the Sentinel 2A and 2B satellites. These data allow monitoring of coastal waters in finer detail and observations in estuaries, bays and lagoons. It was produced within the Earth Observation Climate Inforemation Service (EOCIS) project as one of their high resolution UK (CHUK) datasets.\r\n\r\n\r\nData are provided on the British National Grid, and 3 products are available: a netCDF product which containing all derived variables; and additionally two geotiff products containing chlorophyll-a concentration and Total Suspended Matter (TSM) respectively." }, "onlineresource_set": [] }, { "ob_id": 45899, "uuid": "d51694ebaf9746b09934db2445df4b91", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.05deg/daily/", "numberOfFiles": 3115, "volume": 476799724394, "fileFormat": "Data are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45793, "uuid": "27e75b5f44604349bd563d9b898be953", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.05 degree resolution, version 4.2", "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended." }, "onlineresource_set": [] }, { "ob_id": 45900, "uuid": "11afbd63a7df4a4f9d8e81143bafb2f7", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.5deg/daily/", "numberOfFiles": 8669, "volume": 28235633952, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45794, "uuid": "bd771d1ecc8d4f5aa67b010e16753427", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.5 degree resolution, version 4.2", "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended." }, "onlineresource_set": [] }, { "ob_id": 45901, "uuid": "bbd293d794d548e19d99a14ce735a1da", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.05deg/monthly/", "numberOfFiles": 287, "volume": 31194627135, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45848, "uuid": "e86d5d9d7bd6430e98282475e2252226", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.05 degree resolution, version 4.2", "abstract": "This dataset consists of monthly total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended." }, "onlineresource_set": [] }, { "ob_id": 45902, "uuid": "448d876da3024f64b20c78f2ad4799ae", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.5deg/monthly", "numberOfFiles": 287, "volume": 436253213, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45847, "uuid": "88dc78a226634c1c929ce93ba8eb0074", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.5 degree resolution, version 4.2", "abstract": "This dataset consists of monthly total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended." }, "onlineresource_set": [] }, { "ob_id": 45908, "uuid": "84bde58366bf4042a644f43f5b0d5de0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/comet/publications_data/AHB_LiCSBAS/v1.0", "numberOfFiles": 31350, "volume": 500846105940, "fileFormat": "This data is provided in a zip file. Files inside the zip file are tiff, png, text and kmz format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45379, "uuid": "5c8a8297aed24118b23440f6742b860e", "short_code": "ob", "title": "Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) & GNSS", "abstract": "Surface velocities and strain rates from satellite geodesy have become essential tools for understanding the distribution of tectonic deformation, faulting and seismic hazard. However, across large regions of distributed continental deformation, such as the Alpine-Himalayan Belt, data are only sparsely available. While previous studies have mainly used spatially sparse Global Navigation Satellite System (GNSS) to measure deformation at such large scales, these approaches cannot characterize shorter wavelength features of deformation in many places.\r\nWe use Sentinel-1 radar images acquired during 2016-2024 to provide trans-national average surface velocities and time series at 1 km spatial resolution stretching a distance of over 11,000 km from south-western Europe to eastern China, covering an area more than 20 million square kilometres. We produce the velocity field by combining data from over 222,000 Sentinel-1 SAR images with a new belt-wide compilation of GNSS velocities, all combined in a consistent Eurasian reference frame.\r\nHorizontal strain rates are derived from gradients of the velocity field, yielding near-continuous spatial deformation information over the entirety of the largest deforming region on the planet. The horizontal velocities and strains are dominated by tectonic deformation, which has a bimodal behaviour – focused on major faults but distributed elsewhere. Shorter-wavelength vertical velocities are dominated by non-tectonic processes, in particular the widespread over-exploitation of groundwater. Our new velocity and strain rates are foundational data sets that reveal the details of how the continents deform for the first time at transcontinental scale.\r\n\r\nWhen using these data please also cite the corresponding journal article:\r\nElliott, J. R., J. Fang, M. Lazecky, Y. Maghsoudi, Q. Ou, J. Payne, C. Rollins, D. Wang, A. Hooper & T. J. Wright (2026), Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 InSAR & GNSS, Remote Sensing of the Environment, doi:10.1016/j.rse.2026.115320." }, "onlineresource_set": [] }, { "ob_id": 45909, "uuid": "915ddb1cb46f407f9a9301fb79cbcabc", "short_code": "result", "curationCategory": "", "dataPath": "/badc/sffc-chilbolton/data/new_inst1", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 45915, "uuid": "1dba4c34a95843bba0a2ccb9de78fb52", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-radar-x-band-2/20250603_teamx/v1.0.0", "numberOfFiles": 45741, "volume": 6585178430448, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45914, "uuid": "ef40ee0e4d4c4a208cc81b4a24902631", "short_code": "ob", "title": "TEAMx: Multi-scale transport and exchange processes in the atmosphere over mountains – programme and experiment: birdbath scan from the NCAS X-Band Mobile Radar unit 2 deployed at Mount Plose, South Tyrol, Italy, v1.0.0 (20250618-20250915)", "abstract": "Birdbath scan measurements from the NCAS X-Band Mobile Radar unit 2 deployed at Mount Plose, South Tyrol, Italy. These observations were taken as part of TEAMx: Multi-scale transport and exchange processes in the atmosphere over mountains – programme and experiment between 20250618 and 20250915.\r\n\r\nData products from this deployment include: birdbath\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, "onlineresource_set": [] }, { "ob_id": 45918, "uuid": "04659ea41bae4a328f451cc04d59fc8b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-pressure-1/20010101_longterm/v1.0", "numberOfFiles": 2, "volume": 379223, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45917, "uuid": "a0653e4fcee04492bf7a79bea6a1a638", "short_code": "ob", "title": "NCAS Long Term Observations: surface meteorology from the NCAS air pressure sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.0", "abstract": "Surface meteorology measurements from the NCAS air pressure sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: surface-met\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45921, "uuid": "a3e9bfbfc6694cd1a9883ec85fdb90ca", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-pressure-1/20190411_longterm/v1.0", "numberOfFiles": 1807, "volume": 725615960, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45920, "uuid": "0eeb31e9e090471ba17f45848a406a14", "short_code": "ob", "title": "NCAS Long Term Observations: surface meteorology from the NCAS Pressure Sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.0", "abstract": "Surface meteorology measurements from the NCAS Pressure Sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: surface-met\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45924, "uuid": "d2308b5d478a4dcc88794f140449e4fe", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-sonic-5/20090201_longterm/v1.0", "numberOfFiles": 4935, "volume": 438098560664, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45923, "uuid": "28de087fd16c491687108192c4e1f3bd", "short_code": "ob", "title": "NCAS Long Term Observations: mean winds from the NCAS Sonic Anemometer unit 5 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.0", "abstract": "Mean wind measurements from the NCAS Sonic Anemometer unit 5 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: mean-winds\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45927, "uuid": "dd1207951842491a8f179b29a9299c1e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-temperature-rh-1/20150415_longterm/v1.1", "numberOfFiles": 3177, "volume": 1356250078, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45926, "uuid": "128d67de2adc45578ed57e1fb9b522f4", "short_code": "ob", "title": "NCAS Long Term Observations: surface meteorology from the NCAS Temperature and Humidity Sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.1", "abstract": "Surface meteorology measurements from the NCAS Temperature and Humidity Sensor unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: surface-met\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45931, "uuid": "8034ecb8a10f40498dca04ee77efee80", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-mobile-ka-band-radar-1/20241210_cobalt/v1.0.3", "numberOfFiles": 37399, "volume": 24657771893, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45930, "uuid": "d6effc296d1f48e5a721ea9bd44860a8", "short_code": "ob", "title": "Contrail Observations and Lifecycle Tracking (COBALT): vertical pointing from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed onboard NCAS Chilbolton Atmospheric Observatory (CAO), v1.0.3 (20241210-20251203)", "abstract": "Vertical pointing (VPT) scan measurements from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed onboard NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of Contrail Observations and Lifecycle Tracking (COBALT) between 20241210 and 20251203.\n\nData products from this deployment include: vpt\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45935, "uuid": "84dc2b8f75d64a15bc465ddc6fcfa2a5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cao/data/ncas-mobile-ka-band-radar-1/20240201_ccrest-m/v1.0.1", "numberOfFiles": 7424, "volume": 51850856234, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45934, "uuid": "17f2e296917f4c6f9fdbf0326f907a5c", "short_code": "ob", "title": "Characterising CiRrus and icE cloud acrosS the specTrum - Microwave (CCREST-M): vertical pointing from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed onboard NCAS Chilbolton Atmospheric Observatory (CAO), v1.0.1 (20240201-20240408)", "abstract": "Vertical pointing (VPT) scan measurements from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed onboard NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of Characterising CiRrus and icE cloud acrosS the specTrum - Microwave (CCREST-M) between 20240201 and 20240408.\n\nData products from this deployment include: vpt\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 45943, "uuid": "a6244b16b5aa48c7b0736276682216ee", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/MESOS2D_Tidal_Coeff/", "numberOfFiles": 5, "volume": 32227174544, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45905, "uuid": "a7c36b1be037423cbcd920a968801b27", "short_code": "ob", "title": "Atmospheric tidal coefficients from an SD-WACCM-D simulation at two longitudinal slices: the equator and 69 degrees north (2005–2013)", "abstract": "This dataset was extracted from two numerical simulations of the Earth's atmosphere calculated using the Specified Dynamics version of the Whole Atmosphere Community Climate Model (WACCM) with D-region ionic chemistry.\r\n\r\nIncluded with both simulations are the fourier coefficients required to calculate the atmospheric tides at two longitudinal slices, one over the equator and one at 69 degrees north. The latter location covers a highly instrumented site, allowing for the inclusion of radar observations of atmospheric tides. The daily mean state of the atmosphere at these two locations is also included. In the first run, both the geomagnetic activity and F10.7 flux provided to the model represented daily means. In the second run, the data have a three-hour temporal resolution.\r\n\r\nThese data were produced by University of Leeds and British Antarctic Survey (BAS) scientists under Natural Environment Research Council (NERC) project MesoS2D (grant reference: NE/V018426/1)." }, "onlineresource_set": [] }, { "ob_id": 45945, "uuid": "65c91992d90b4a13b314f2aa23a2bde8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/ASC_surface_turbulence", "numberOfFiles": 3, "volume": 197009, "fileFormat": "ASCII text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45944, "uuid": "f655bf53327041349519030618d76704", "short_code": "ob", "title": "Surface level turbulence derived from MASIN flight measurements for the Arctic Summertime Cyclones Project", "abstract": "This dataset contains surface layer turbulent fluxes and meteorological variables derived from Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft. These data were based on measurements made during the July-August 2022 field campaign of the Arctic Summertime Cyclones project - funded by NERC Arctic Summertime Cyclones Project (NE/T00682X/1)." }, "onlineresource_set": [] }, { "ob_id": 45949, "uuid": "a064b9cbc99c4e3588adb5e33a330097", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/ASC_sea_ice_and_melt_pond_fraction", "numberOfFiles": 3, "volume": 82132, "fileFormat": "ASCII text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45948, "uuid": "16d77f6aa75c46b8b1e60f713a4aca78", "short_code": "ob", "title": "Sea ice and melt pond fraction from video analysis for the Arctic Summertime Cyclones Project", "abstract": "Data from analysis of six MASIN flights from the Arctic Summertime Cyclones field campaign in Summer 2022. Each data point corresponds to a flux-run of a duration of ~1 minute. Bulk variables are averaged (mean) along each flux-run, unless otherwise stated in variable description. The sea-ice fraction and melt-pond fraction are from subjectively analysed video footage, where the fraction of sea ice and melt ponds are recorded every minute. Fractions are recorded to the nearest 5% and benchmarked by objective image color analysis of still images. The data set was compiled by Miriam Bennett, with help from Ian Renfrew and Chris Barrell (all University of East Anglia)." }, "onlineresource_set": [] }, { "ob_id": 45956, "uuid": "f4c42a50408c4332a78238c92fbbedb1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/accacia/data/ACCACIA_IGP_ASC_sea_ice_fraction_estimates", "numberOfFiles": 3, "volume": 158618, "fileFormat": "ASCII text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45955, "uuid": "e8c0d44bcc1f47ff888f3aa5d02b4597", "short_code": "ob", "title": "Sea ice fraction estimates from low-level aircraft compiled from ACCACIA, Iceland Greenland Seas Project and Arctic Summertime Cyclones project flights", "abstract": "This dataset contains sea-ice fraction estimates, based on albedo from shortwave radiation during low-level aircraft legs, as well as a few other aircraft measurements compiled from several field campaigns: Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA), Iceland Greenland Seas (IGP) Project and Arctic Summertime Cyclones (ASC) project flights. The data are derived from the BAE-146 measurements on the FAAM and Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft. All field campaigns were funded by NERC under the ACCACIA (NE/I028297/1), IGP (NE/N009754/1) and Arctic Summertime Cyclones (NE/T00682X/1) grants. \r\n\r\nThis compilation is a subset of data taken from ‘surface turbulence data sets’ for each individual campaign (also on CEDA)." }, "onlineresource_set": [] }, { "ob_id": 45970, "uuid": "3111e474ffd145d2a658d030243c2e3c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/fire/data/burned_area/Harmonised/grid/v6.0/", "numberOfFiles": 193, "volume": 50770289, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44914, "uuid": "db75c5f51ee240ae8743355dcebbb9b9", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (FireCCI): Harmonised Medium Resolution Burned Area Grid product, version 6.0 (MRBA60H)", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Harmonised Medium Resolution Burned Area grid product version 6.0 (MRBA60H) described here contains gridded data on global burned area derived from the harmonisation of two previous datasets: FireCCI51 and MRBA60 (previously known as FireCCIS311). This harmonisation has been done using machine learning techniques to try to approximate the FireCCI51 burned area to that of MRBA60 for the period when Sentinel-3 was not available (2003-2018). From 2019 onwards, the Grid product of MRBA60 can be used as the continuation of MRBA60H, providing a consistent dataset.\r\n\r\nThe description of the algorithm, input variables and validation results can be found in the Algorithm Theoretical Basis Document (ATBD) of the product in the linked documentation. The gridded dataset contains two variables: sum of burned area per month and per 0.25-degree grid cell, and the corresponding uncertainty, calculated as the Root Mean Square Error. For further information on the product and its format see the Product User Guide (PUG) in the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 45977, "uuid": "0158a259d93642f79639a940913ed03c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/RAMIP_CESM2/RAMIP_RAW_OCEAN_DATA/", "numberOfFiles": 1081, "volume": 7697663828720, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44870, "uuid": "fa4fe5160ca84acf919d4279fcf102c7", "short_code": "ob", "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." }, "onlineresource_set": [] }, { "ob_id": 45979, "uuid": "cad9646438ad43669eb1bc98e3511dd1", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/RAMIP_CESM2/RAMIP_RAW_SIX_HOUR_DATA/", "numberOfFiles": 38597, "volume": 2276767704510, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45978, "uuid": "5d2a217fc9f4405e86ddc98d6693e815", "short_code": "ob", "title": "6-hourly data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains 6-hourly 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." }, "onlineresource_set": [] }, { "ob_id": 45989, "uuid": "b933b437b1f34781a5d5d3cfd50bd3b6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/5km/", "numberOfFiles": 9907, "volume": 22787009088, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45987, "uuid": "a7947ae607fd4be8994b940eebca8872", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45990, "uuid": "475af5a2ceb0455f9b6b0b940b0a1ff3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/60km/", "numberOfFiles": 9907, "volume": 516595079, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45988, "uuid": "a613225bcdcb4fe495d9f630f8e86622", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45991, "uuid": "d04552c2778948b6bea3cc8d40041397", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/1km/", "numberOfFiles": 9907, "volume": 497388062925, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45985, "uuid": "789b3065d74a4c948ab05d33556c86d0", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45992, "uuid": "e7b2d6694d9b4baeb3f1c54862f5b56b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/25km/", "numberOfFiles": 9907, "volume": 1378569775, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45986, "uuid": "8c4008c25dfe4158bd8961d3c0ada80f", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45993, "uuid": "123c3c9ab1ac476fa3de8889c9ca6511", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/12km/", "numberOfFiles": 9907, "volume": 4434262972, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45984, "uuid": "d6fe2f491e2f45be95c95fbcbd45c4e3", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation). \r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45994, "uuid": "dd91da0ec7cb4d8683afff76c2ec2d0f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/river/", "numberOfFiles": 224, "volume": 38457369, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45983, "uuid": "890a2f8a3b2542fbb9618eba906f032a", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45995, "uuid": "108cae61fbec4c3285b207435c597c0f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/region/", "numberOfFiles": 224, "volume": 29446776, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45981, "uuid": "386b3c1ee2054ef5ae0d73060963a9f1", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n\r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45996, "uuid": "92715c5e84af4e45b4a486f1a088caff", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.2.ceda/country/", "numberOfFiles": 224, "volume": 19368170, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45982, "uuid": "ca4c331d666f4395b1346db9070094ab", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.3.2.ceda (1836-2025)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n\r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 45997, "uuid": "a979c40431bf4ec99199e0e1342a944c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/TOMCAT_chlorine/", "numberOfFiles": 131, "volume": 694967739, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45968, "uuid": "e020b3328b064b76898bb6e25b7b78d5", "short_code": "ob", "title": "TOMCAT (VSLS): Sources and Impacts of Short-Lived Anthropogenic Chlorine", "abstract": "The TOMCAT (Three-dimensional Off-line Chemical Transport Model (CTM) designed to represent the complex interactions between atmospheric chemistry, dynamics, and transport. Simulation is performed using external meteorological reanalysis fields (ERA5) for January 1977 to March 2025. Model simulates the evolution of chemical species by integrating time-varying emissions, solar fluxes, and stratospheric aerosol data. By utilizing predefined scenarios, such as the WMO 2022 projections, the TOMCAT model provides a consistent framework for investigating how short-lived substances and ozone-depleting gases influence stratospheric composition and climate feedback mechanisms over decadal timescales.\r\n\r\nThe data are pre-processed (zonal mean monthly mean on pressure and height levels)." }, "onlineresource_set": [] }, { "ob_id": 46014, "uuid": "c57395ddb3314c0a8bcb821f1d2eb3c0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/uk-decc-network/data/v26.01", "numberOfFiles": 347, "volume": 5062940159, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46000, "uuid": "92114842e8204b76a764c65f4b78f160", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 26.01", "abstract": "This version 26.01 dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network consists of five sites in the UK and I\r\nreland measuring greenhouse and ozone-depleting gases.\r\n\r\nThe four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. Data from the decommissioned DECC network site at Angus Tall Tower are also included in this dataset collection, as are data from the affiliated (non-core) sites at Invergowrie (Perth and Kinross), Jodrell Bank (Cheshire), Lerwick (Shetland), and Valentia Island (County Kerry, Ireland). The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." }, "onlineresource_set": [] }, { "ob_id": 46015, "uuid": "17d18e84828649469aff7fa521ae64fe", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/WM-AirQualityMaps/", "numberOfFiles": 89, "volume": 2274323659, "fileFormat": "GEOTIFF and TIFF files", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45156, "uuid": "2440f838ab92489d8aa09fa1cf39bd1b", "short_code": "ob", "title": "Modelled West Midlands Air Quality Maps from 2016 - 2030", "abstract": "This dataset contains high-resolution spatial mapping layers of ambient air quality across the West Midlands, produced as part of the West Midlands Air Quality Improvement Programme (WMAQIP) from 2016 - 2030. \r\nThe data provide gridded concentration outputs for key atmospheric pollutants, specifically nitrogen dioxide (NO₂) and fine particulate matter (PM2.5), to support regional environmental planning and public health assessments. The data is organized into pollutant-specific directories (NO2 and PM2.5), each subdivided by strategic environmental simulation scenarios. These include baseline conditions, targeted traffic mitigation pathways (Traffic_Reduction), and projected future emissions compliance models (2030_NetZero). Within these directories, data is delivered as georeferenced raster layers. Each raster consists of a standard image file paired with spatial data sidecar files: core raster data (.tif), GIS world georeferencing coordinates (.tfw), rendering optimization pyramids (.ovr), and structured XML metadata (.xml). While this dataset represents the finalized empirical outputs of the WMAQIP predictive modeling framework, full details regarding the underlying chemical transport models, input emissions inventories, and meteorological validation methods are comprehensively documented in the accompanying technical literature linked in the metadata references. \r\n\r\nHigh resolution air quality models combining emissions, chemical processes, dispersion and dynamical treatments are necessary to develop effective policies for clean air in urban environments. Task farming was applied to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. The option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming was implemented and evaluated. The approach has been tested for a large model domain covering the West Midlands, UK, as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. Annual air quality maps for the baseline and modelling scenarios have been generated." }, "onlineresource_set": [] }, { "ob_id": 46041, "uuid": "459f8bf1113942cda4f43bd79171e2bf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/auchencorth/data/BushCabin_1988_2024_met/", "numberOfFiles": 40, "volume": 87464105, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46040, "uuid": "c4786b50e00a4cda89f44e4c95054130", "short_code": "ob", "title": "Bush Cabin at UKCEH Edinburgh Bush Estate - Annual half-hourly meteorology measurements since 1988, near Edinburgh, UK", "abstract": "Annual half-hourly meteorology observations from a compilation of main sonic anemometer (Gill Windmaster), secondary sonic (Metek USA-1) and wind vane sensors (Vector Instruments) made at the CEH (Centre for Ecology and Hydrology) Bush Cabin site on the Bush Estate near Edinburgh, UK since 1998.\r\n\r\nThe Bush Cabin site on the Bush Estate is located within the institute grounds and has a long history of air pollution and meteorological monitoring. The cabin is set in approximately 2 acres of grassland with established trees to the North and East, ca 10 km south of Edinburgh (55.862281,-3.205782). The cabin was installed in the 1980s for the then Institute of Terrestrial Ecology (now UK Centre for Ecology and Hydrology), with a basic measurements of total global solar radiation, rainfall, air temperature, wind direction and wind speed at ca 4 m. Initially these were not electronically recorded but in 1988 a Campbell Scientfic data logger was added to allow the automatic reading and recording of the data. Various other sensors were added over the years with the logging system being upgraded as the technology developed. In the early 2000's a taller mast was installed with the sensors at ca 8 m to reduce the influence of the mature trees surrounding the field. The site is been part of national monitoring networks, https://uk-air.defra.gov.uk/interactive-map" }, "onlineresource_set": [] }, { "ob_id": 46044, "uuid": "53c3f0b877ff42ee9301b8972340105c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2026/EXPECT_WP1p2_project_output", "numberOfFiles": 175, "volume": 287813083448, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45669, "uuid": "5c4840f2437648bbb9e898587f67617c", "short_code": "ob", "title": "EXPECT: Data assimilation of satellite ESA CCI soil moisture into JULES", "abstract": "This dataset contains the output of gridded JULES (Joint UK Land Environment Simulator) runs from 1980-2019 over Europe before and after the 4DEnVar data assimilation of satellite ESA CCI (Climate Change Initiative) soil moisture, This output is from work-package WP1.2 of the HORIZON Europe EXPECT project: “Towards an Integrated Capability to Explain and Predict Regional Climate Changes”. \r\n\r\nForcing data from the Watch Forcing Data ERA5 data set was used. The ESA CCI soil moisture data was assimilated using the 4DEnVar technique of Pinnington et al. (2021), which assumes the 15 parameters of the Tóth pedotransfer function (PTF) are constant over the entire region of Europe. The JULES suite u-dx313 was used to determine the posterior PTF parameters for the time period 2014-2018, followed by full JULES runs with suite u-du244 for both the prior and the posterior PTF parameters from 1980-2019." }, "onlineresource_set": [] }, { "ob_id": 46048, "uuid": "b8b76c1875874382bf0aa3d812aa6915", "short_code": "result", "curationCategory": "", "dataPath": "/bodc/gebco/ibcao/ibcao_v5.2", "numberOfFiles": 86, "volume": 177987491455, "fileFormat": ".tiff; .zip; .pdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46047, "uuid": "30ad58b60d8c4a4dab6d64a40640540a", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.2", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.2 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 5.2 Grid was released in June 2026, updated from IBCAO Version 5.1.\r\n\r\nThe bathymetric grid released in IBCAO Version 5.2 is available in data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5.2 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5.2 grid without Greenland ice sheet data is also available. IBCAO Version 5.2 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)." }, "onlineresource_set": [] }, { "ob_id": 46050, "uuid": "d5cf8dd1771d47dc9179fa9e07869460", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/altimeter/l2p", "numberOfFiles": 1121436, "volume": 635254672187, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45282, "uuid": "baeb32fd74cb49a1b67a6a4164ff0899", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height from altimetry, L2P product, version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 2P (L2P) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4 Remote Sensing Significant Wave Height product, which provides along-track data at approximately 6 km spatial resolution, separated per satellite and pass, including all measurements with flags, corrections and extra parameters from other sources. These are expert products with rich content and no data loss. \r\n\r\nThe altimeter data used in the Sea State CCI dataset v4 come from multiple satellite missions spanning from 1992 to 2023 ( ERS-1, ERS-2, Topex-Poseidon, Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3 A, Sentinel-3 B, Sentinel-6 A), therefore spanning over a larger time range than the previous version 3 (2002-2021). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in the Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." }, "onlineresource_set": [] }, { "ob_id": 46051, "uuid": "faa432082cd74d7c8f90b395193d2b04", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/HMWR_AHI/L3C/v2.00/monthly", "numberOfFiles": 2041, "volume": 31540062245, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46024, "uuid": "cd07a8fab39d42e48f8657297a25b3f6", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Himawari (HMWR8-9) level 3C (L3C) product (2015-2024), version 2.00", "abstract": "This dataset contains monthly land surface temperatures (LST) and their uncertainty estimates from the Advanced Himawari Imager (AHI) onboard Himawari geostationary satellites (Himawari-8 and Himawari-9). The surface temperatures are averaged every hour and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the Himawari disk, which encompasses Australia and part of Asia. LSTs are estimated from infrared measurements using a split-window algorithm and are only available under clear-sky conditions. The dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46052, "uuid": "8038ff7d486843f2bc66e4501d4ea1fb", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/HMWR_AHI/L3U/v2.00", "numberOfFiles": 1, "volume": 946, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46023, "uuid": "e229ccfbed8041cabc3dcb9a81f4150e", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Himawari (HMWR8-9) level 3 (L3U) product (2015-2024), version 2.00", "abstract": "This dataset contains land surface temperatures (LST) and their uncertainty estimates from the Advanced Himawari Imager (AHI) onboard Himawari geostationary satellites (Himawari-8 and Himawari-9). The surface temperatures are generated every hour and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the Himawari disk, which encompasses Australia and part of Asia. LSTs are estimated from infrared measurements using a split-window algorithm and are only available under clear-sky conditions.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46053, "uuid": "42fc3444fd1d417e8d135bfef6282e0c", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/MTSAT_JAMI/L3C/v2.00/monthly", "numberOfFiles": 509, "volume": 8163016859, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46019, "uuid": "dd2213cf6647460e916666960d4bce2d", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Multi-Functional Transport Satellite (MTSAT1-2) level 3C (L3C) product (2009-2015), version 2.00", "abstract": "This dataset contains monthly land surface temperatures (LST) and their uncertainty estimates from the Japanese Advanced Meteorological Imager (JAMI) onboard Multi-Functional Transport Satellite (MTSAT-1 and MTSAT-2). The surface temperatures are averaged every 3 hours and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the MTSAT disk, which encompasses Australia and part of Asia. LSTs are estimated from infrared measurements using a single channel algorithm, being only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Product User Guide and Validation Report for more information on expected quality of these LST estimates.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46054, "uuid": "850adea5589342379eff0b988a97f886", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/MTSAT_JAMI/L3U/v2.00", "numberOfFiles": 17037, "volume": 243878844528, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46018, "uuid": "f51fdbacebe740a8832cf75428558492", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multi-Functional Transport Satellite (MTSAT1-2) level 3 (L3U) product (2009-2015), version 2.00", "abstract": "This dataset contains land surface temperatures (LST) and their uncertainty estimates from the Japanese Advanced Meteorological Imager (JAMI) onboard Multi-Functional Transport Satellite (MTSAT-1 and MTSAT-2). The surface temperatures are generated every 3 hours and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the MTSAT disk, which encompasses Australia and part of Asia. LSTs are estimated from infrared measurements using a single channel algorithm, being only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Product User Guide and Validation Report for more information on expected quality of these LST estimates.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46055, "uuid": "bb2ae3dc1e56486485228fbfe2d0d417", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/GOES-R_ABI/L3U/v2.01", "numberOfFiles": 55036, "volume": 752930807303, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46020, "uuid": "55cce53dea124a238b2c191c1340b2d2", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Geostationary Operational Environmental Satellite - R series (GOES-R) level 3 (L3U) product (2018-2024), version 2.01", "abstract": "This dataset contains land surface temperatures (LST) and their uncertainty estimates from the Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite R series (GOES-R). The surface temperatures are generated every hour and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the GOES disk, which encompasses North and South America. LSTs are estimated from infrared measurements using a split-window algorithm and are only available under clear-sky conditions. \r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46056, "uuid": "c2f2becbaaa242628cf83528686546e6", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/GOES-R_ABI/L3C/v2.01/monthly", "numberOfFiles": 1935, "volume": 31586886096, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46021, "uuid": "bd4e8367cc164b7aa68ba27f4761eeb0", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Geostationary Operational Environmental Satellite - R series (GOES-R) level 3C (L3C) product (2018-2024), version 2.01", "abstract": "This dataset contains monthly land surface temperatures (LST) and their uncertainty estimates from the Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite R series (GOES-R). The surface temperatures are averaged for every hour and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the GOES disk, which encompasses North and South America. LSTs are estimated from infrared measurements using a split-window algorithm and are only available under clear-sky conditions. \r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46057, "uuid": "85da9589c20542a7be49b3c52b2f632b", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/GOES_IMAGER_ABI/L3U/v2.00", "numberOfFiles": 32014, "volume": 467499788536, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46016, "uuid": "f497e0a0f70449f0a4b1e9654011ab14", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Geostationary Operational Environmental Satellite (GOES12-13) level 3 (L3U) product (2004-2017), version 2.00", "abstract": "This dataset contains land surface temperatures (LST) and their uncertainty estimates from the IMAGER onboard the Geostationary Operational Environmental Satellite (GOES-12 and GOES-13). The surface temperatures are generated every 3 hours and are distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the GOES disk, which encompasses North and South America. LSTs are estimated from infrared measurements using a single channel algorithm and are only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Product User Guide and Validation Report for more information on expected quality of these LST estimates.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46058, "uuid": "1ca83b9ac73f42c4be4922638a3a20cc", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/GOES_IMAGER_ABI/L3C/v2.00/monthly", "numberOfFiles": 1205, "volume": 20197472485, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46017, "uuid": "a3ca75fd1fbd45749e7108db194e3330", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Geostationary Operational Environmental Satellite (GOES12-13) level 3C (L3C) product (2004-2017), version 2.00", "abstract": "This dataset contains monthly land surface temperatures (LST) and their uncertainty estimates from the IMAGER onboard the Geostationary Operational Environmental Satellite (GOES-12 and GOES-13). The surface temperatures are averaged every 3 hours and are distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the GOES disk, which encompasses North and South America. LSTs are estimated from infrared measurements using a single channel algorithm and are only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Product User Guide and Validation Report for more information on expected quality of these LST estimates.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46059, "uuid": "0594148ed3064931aab6b2990f6cd8e4", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/altimeter/l3/v4.0/", "numberOfFiles": 11833, "volume": 116351838819, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45286, "uuid": "82273fe59b784e7c914e1bd3049e3483", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing daily merged multi-mission along-track significant wave height from altimetry, L3 product, version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global daily merged multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 3 (L3) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4 Remote Sensing Significant Wave Height product, which provides along-track data at approximately 6 km spatial resolution. It has been generated from upstream Sea State CCI L2P products, edited and merged into daily products, retaining only valid and good quality measurements from all altimeters over one day, with simplified content (only a few key parameters). This is close to what is delivered in Near-Real Time by the CMEMS (Copernicus - Marine Environment Monitoring Service) project. It covers the date range from 2002-2023.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v4 come from multiple satellite missions spanning from 1992 to 2023 ( ERS-1, ERS-2, Topex-Poseidon, Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3 A, Sentinel-3 B, Sentinel-6 A), therefore spanning over a larger time range than the previous version 3 (2002-2021). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in the Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." }, "onlineresource_set": [] }, { "ob_id": 46060, "uuid": "ef161286da4a49d7ad5f107be90a10d8", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_state/data/v4_release/altimeter/l4/v4.0/", "numberOfFiles": 385, "volume": 885955985, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45287, "uuid": "315d8e013696420192f1ea1d9191ca9c", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing merged multi-mission monthly gridded significant wave height from altimetry, L4 product, version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 4 (L4) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4 Remote Sensing Significant Wave Height product, gridded over a global regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all available altimeters on a monthly basis (using the L2P products also available). These L4 products are meant for statistics and visualization.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v4 come from multiple satellite missions spanning from 1992 to 2023 ( ERS-1, ERS-2, Topex-Poseidon, Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3 A, Sentinel-3 B, Sentinel-6 A), therefore spanning over a larger time range than the previous version 3 (2002-2021). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in the Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band)." }, "onlineresource_set": [] }, { "ob_id": 46062, "uuid": "3b926a617c08412c80522aa0a3e5c598", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/sar/l2p/sentinel1/ifremer-wv/v1.0/", "numberOfFiles": 179560, "volume": 12942782479, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46061, "uuid": "5e879d08e0b34ea5aa5aac2b3fdf2c2f", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height (SWH) from SAR WV onboard Sentinel-1A & 1B, L2P product, release version 4.", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) wave mode (WV) significant wave height (SWH) data (referred to as SAR WV onboard Sentinel-1 Level 2P (L2P) SWH data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Ifremer Sentinel-1 SAR Wave Mode Remote Sensing Significant Wave Height product, which is part of the ESA Sea State CCI Version 4.0 release. This is a temporal extension to the previous version 3 release. This product provides along-track SWH measurements at 20km resolution every 100km, processed using the Quach et al statistical model , separated per satellite and pass, including all measurements with flags, corrections and extra parameters from other sources. These are expert products with rich content and no data loss. The SAR Wave Mode data used in the Sea State CCI dataset v3 come from Sentinel-1 satellite missions spanning from 2015 to 2025 (Sentinel-1 A, Sentinel-1 B)." }, "onlineresource_set": [] }, { "ob_id": 46068, "uuid": "2357934a3c4f4714b994010464938466", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/sar/l2p/sentinel1/dlr-wv/v1.0/", "numberOfFiles": 176098, "volume": 8964720896, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46067, "uuid": "7e19d1be1cc5486294155ad23534ffa0", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track Integrated Sea State Parameters (ISSP) from SAR WV onboard Sentinel-1A & 1B, L2P product, release version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) wave mode (WV) integrated sea state parameters\r\n(ISSP) data from Sentinel-1 (referred to as SAR WV onboard Sentinel-1 Level 2P (L2P) ISSP data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Sentinel-1 SAR Wave Mode Remote Sensing Integrated Sea State Parameter product, which forms part of the ESA Sea State CCI version 4.0 release. This is a temporal extension to the previous version 3 release. This product provides along-track primary significant wave height measurements and secondary sea state parameters, calibrated with CMEMS model data and reference in situ measurements at 20km resolution every 100km, processed using the Pleskachevsky et. al.,\r\n2021 emprical model, separated per satellite and pass, including all measurements with flags and uncertainty estimates. These are expert products with rich content and no data loss. The SAR Wave Mode data used in the Sea State CCI SAR WV onboard Sentinel-1 Level 2P (L2P) ISSP v4 dataset come from the Sentinel-1 satellite missions spanning from 2014 to 2024 (Sentinel-1 A, Sentinel-1 B)." }, "onlineresource_set": [] }, { "ob_id": 46071, "uuid": "542cc0e0f0c747f0bd73a784692b384f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/sar/l2p/sentinel1/dlr-iw/v1.0/", "numberOfFiles": 1329829, "volume": 425389127198, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45855, "uuid": "9675ee262e79485daa00a146f1300bf3", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track Integrated Sea State Parameters (ISSP) from SAR IW onboard Sentinel-1A & 1B, L2P product, release version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) integrated sea state parameters (ISSP) data from Sentinel-1 Interferometric Wide Swath Mode (referred to as SAR IW image mode onboard Sentinel-1 Level 2P (L2P) ISSP data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Sentinel-1 SAR IW Remote Sensing Integrated Sea State Parameter product, which forms part of the ESA Sea State CCI version 4.0 release. \r\n\r\nSentinel-1 Interferometric Wide Swath Mode (IW) combines a large swath width with a moderate geometric resolution. The individual IW images cover approximately 200 km in azimuth and 250 km in the range direction with a pixel spacing of 10 m. This product provides along-track primary significant wave height measurements and secondary sea state parameters, calibrated with CMEMS model data and reference in situ measurements at 5 km resolution over each image, processed with the SAR-SeaStaR (SAR Sea State Retrieval) algorithm used developed at the DLR, separated per satellite and image, including all measurements with flags and uncertainty estimates. These are expert products with rich content and no data loss. The SAR IW data used in the Sea State CCI SAR IW onboard Sentinel-1 Level 2P (L2P) ISSP v4 dataset come from the Sentinel-1 satellite missions spanning from 2014 to 2024 (Sentinel-1 A, Sentinel-1 B).\r\n\r\nReference: Pleskachevsky, A., Tings, B., S. Wiehle, S., Imber, J., Jacobsen, S., 2022. Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness. Remote Sens. Environ., vol. 280, Oct. 2022, Art. no. 113200." }, "onlineresource_set": [] }, { "ob_id": 46076, "uuid": "e65feb6b3a434003b61b282a7c4fa6d2", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_state/data/v4_release/sar/l2p/sentinel1/dlr-ew/v1.0/", "numberOfFiles": 540038, "volume": 78659286728, "fileFormat": "Data are in NetCDF Format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45856, "uuid": "115f52ba8a40487eacf3f81974a9cc8a", "short_code": "ob", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track Integrated Sea State Parameters (ISSP) from SAR EW onboard Sentinel-1A & 1B, L2P product, release version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) integrated sea state parameters (ISSP) data from Sentinel-1 Extra Wide Swath Mode (referred to as SAR EW image mode onboard Sentinel-1 Level 2P (L2P) ISSP data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Sentinel-1 SAR IW Remote Sensing Integrated Sea State Parameter product, which forms part of the ESA Sea State CCI version 4.0 release.\r\n\r\nSentinel-1 Extra Wide Swath Mode (EW) is similar to the IW mode, but the EW mode acquires data over a wider area than for IW mode using five sub-swaths. The EW mode acquires data over 400 km swath width with a coarser pixel spacing of 40 m (GRDM products) and 25 m (GRDH). This product provides along-track primary significant wave height measurements and secondary sea state parameters, calibrated with CMEMS model data and reference in situ measurements at 17.5 km resolution over each image, processed with the SAR-SeaStaR (SAR Sea State Retrieval) algorithm used developed at the DLR, separated per satellite and image, including all measurements with flags and uncertainty estimates. These are expert products with rich content and no data loss. The SAR EW data used in the Sea State CCI SAR EW onboard Sentinel-1 Level 2P (L2P) ISSP v4 dataset come from the Sentinel-1 satellite missions spanning from 2014 to 2024 (Sentinel-1 A, Sentinel-1 B).\r\n\r\nReference: Pleskachevsky, A., Tings, B., S. Wiehle, S., Imber, J., Jacobsen, S., 2022. Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness. Remote Sens. Environ., vol. 280, Oct. 2022, Art. no. 113200." }, "onlineresource_set": [] }, { "ob_id": 46077, "uuid": "b8d0f6fbfe0f454cbd0aba1f12d79746", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/nceo_biomass_maps/data/african_maps/v1.0/", "numberOfFiles": 15, "volume": 19659722308, "fileFormat": "The maps are in GEOTIFF format and the unit of pixel values is ton per hectare.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45168, "uuid": "e3f42bece9364be3a5653f4c71f2905c", "short_code": "ob", "title": "NCEO aboveground biomass maps of Africa for years 2007, 2008, 2009, 2010, 2015, 2016, and 2017 (v1.0)", "abstract": "The product contains maps of aboveground biomass (AGB) estimates and their uncertainty (AGB standard deviation) in the African continent at 100m spatial resolution for years 2007, 2008, 2009, 2010, 2015, 2016, 2017. The maps are in GEOTIFF format and the unit of pixel values is ton per hectare. \r\n\r\nAboveground biomass (AGB) was estimated using satellite-based canopy estimates and ground-based tree height and AGB data. Input data for modelling canopy height are HH and HV backscatter from ALOS PALSAR 1 and 2 and tree cover fraction from Landsat. Relative height 100% from spaceborne LiDAR GEDI was used for training. An empirical model, built with field and ALS data, was used for converting canopy height to aboveground biomass. Details of the methods for data production are provided in the following paper: Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Sci Rep 15, 41744 (2025) which can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 46082, "uuid": "1bab04663c2e4200a00780dc20e69012", "short_code": "result", "curationCategory": "", "dataPath": "https://www.metoffice.gov.uk/hadobs/hadukgrid/index.html", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "external", "oldDataPath": [], "observation": { "ob_id": 46081, "uuid": "4507b91bf5094c82b43f2f546cc224e0", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations: latest provisional data", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections, released annually as verified versions via the CEDA data archive.\r\n\r\nBetween releases the Met Office make available provisional data for recent months are available to download via the HadObs website. The latest data will be added shortly after the end of each month.\r\n\r\nThese provisional data can be used to extend the data series available in the latest release on CEDA.\r\n\r\nThe provisional data are produced for routine monitoring activities at the Met Office. These provisional versions therefore will be subject to amendment or revision before they become part of a fully citeable version of the dataset available from CEDA.\r\n\r\nThe provisional grids are generated from station observations available in near-real time. Although basic checks to eliminate any obviously suspect values will have been applied, the observations will not have been through the full quality control process. The provisional grids will also be based on fewer stations than the annual releases as not all stations report in near-real time. This is most significant for rainfall for which a large proportion of the observations are received in slower time.\r\n\r\nThe provisional data files are only provided for a subset of the full HadUK-Grid dataset. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, wind speed, and days of ground frost. Four variables are not included because the files are not generated in near-real time - these are relative humidity, mean sea level pressure, vapour pressure and days of snow lying. Seasonal and annual grids and area averages are also excluded. National and regional averages can be found on the Met Office website.\r\n\r\nTo reduce storage requirements and download times we have applied additional file compression to the provisional datasets compared to the annual release. This will have the effect of a small reduction in the precision of the data.\r\n\r\nNote that this is not an operational service and this page will be maintained on a best endeavours basis. Data files will be removed from here once they have been superseded by the next annual release.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence." }, "onlineresource_set": [] } ] }