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": 11703, "next": "https://catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11700", "previous": "https://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": 34308490091, "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": 70032665804, "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": 21382335261, "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": 5439, "volume": 1687312545030, "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 Instrument) on the Sentinel 3A and 3B satellites. It was produced within the Earth Observation Climate Information 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.\r\n\r\nThis dataset will be extended in the future via an NEODAAS (NERC Earth Observation Data Analysis and Artificial-Intelligence Service) activity." }, "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": 594671255749, "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 Instrument (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\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.\r\n\r\nThis dataset will be extended in the future via an NEODAAS (NERC Earth Observation Data Analysis and Artificial-Intelligence Service) activity." }, "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": 8669, "volume": 1404984309894, "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": 28235482896, "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": 31194627100, "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": 436253178, "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": 6585178430446, "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 and vol scans from the NCAS X-Band Mobile Radar unit 2 deployed at Mount Plose, South Tyrol, Italy, v1.0.0 (20250618-20250915)", "abstract": "Vertical calibration (birdbath) and volume 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 scans (90 degree elevation scans used for calibration) and volume scans (vol).\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata and also the linked scan document.\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": 379320, "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": 725616057, "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": 438098560761, "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": 1356250175, "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": 24657771990, "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": 51850856331, "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": 32227174511, "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": 7697663828699, "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": 38598, "volume": 2276767705366, "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": 22787009086, "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; 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": 516595077, "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; 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": 497388062923, "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; 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": 1378569773, "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; 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": 4434262970, "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; 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": 38457367, "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. Those 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; 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": 29446774, "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. Those 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; 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": 19368168, "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. Those 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; 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": 694967809, "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 3D offline chemical transport model is 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. The 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": 5062940227, "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 Ireland measuring greenhouse and ozone-depleting gases.\r\n\r\nThe four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. 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": 2274323648, "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 (at 10m x 10 m resolution) 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": 87464094, "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": 287813083494, "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": 177987491525, "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": 635254672186, "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 1991 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": 31540062235, "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": 77499, "volume": 978478022515, "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": 8163016824, "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": 243878844493, "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": 55037, "volume": 752943386891, "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": 31586886061, "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": 31766, "volume": 463756014366, "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": 1192, "volume": 20000911182, "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": 116351838818, "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. \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": 885955984, "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": 12942782511, "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": 8964720928, "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 (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 (Copernicus Marine Service) model data and reference in situ measurements at 20km resolution every 100km, processed using the Pleskachevsky et. al., 2021 empirical 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": 425389127230, "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 (Copernicus Marine Service) 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 (German Aerospace Center), 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": 78659286760, "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 (German Aerospace Centre), 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": 19659722367, "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": "This dataset 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.\r\n\r\nDetails of the methods for data production are provided in the following paper, which is linked in the documentation section of this catalogue record: Rodríguez-Veiga, P., Carreiras, J.M.B., Quegan, S. et al. Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Sci Rep 15, 41744 (2025)." }, "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. Those 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, covered by this catalogue entry, for which 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 provisional gridded data produced are:\r\n\r\nDaily: max and min temperatures (tasmax, tasmin) and rainfall\r\nMonthly: average, min and max air temperatures (tas, tasmax, tasmin), rainfall, sunshine, ground frost and surface wind\r\n\r\nFour 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 (see online link on this record).\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 the Met Office provisional HadUK-Grid content is not an operational service and the page will be maintained on a best endeavours basis. Data files will be removed from there once superseded by the next annual release via the CEDA archive.\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": 46097, "uuid": "2abd07b77ae7441884deca44b2ca574c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/canari/data/priority", "numberOfFiles": 1260932, "volume": 304927025997849, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45353, "uuid": "4b62fafc68ae4c3784fb2819f652c537", "short_code": "ob", "title": "CANARI LE Priority Variables from the HadGEM3.1 large ensemble of climate model simulations for the CANARI project (v1)", "abstract": "The Climate change in the Arctic – North Atlantic Region and Impacts on the UK Large Ensemble (CANARI LE) priority variables are a subset of the output from a Large Ensemble using the HadGEM3.1 model to simulate 40 realisations of 150 years of historical and future climate (a total of 6000 years of simulation). \r\n\r\nThe historical simulations (HIST2) run from 1950 to 2014, after which they continue using the SSP3-70 (SSP370) scenario forcing (historical and scenario forcings as used in CMIP6). \r\n\r\nThe model used is the medium resolution configuration of HadGEM3.1-MM used for CMIP6, with the Unified Model atmosphere at N216 (~60km) and the NEMO ocean at 0.25°. \r\n\r\nThe baseline performance of the CANARI LE is described in Schiemann et al. 2026, https://doi.org/10.5194/egusphere-2026-2281 \r\n\r\nThe 40 realisations are initialised using a combination of initial conditions from eight simulations which began in 1850 with five additional initial condition perturbations applied to each of those in 1950. The priority variable subset includes fields from the atmosphere, land surface, ocean and sea-ice, at a range of temporal frequencies.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project 6 of the World Climate Research Programme (WCRP).\r\n\r\nSSP3-70 is a future scenario in the upper middle part of the range of CMIP6 scenarios. \r\n\r\nThis work was supported through the NERC CANARI award: NE/W004984/1" }, "onlineresource_set": [ 95733 ] }, { "ob_id": 46102, "uuid": "215e018edf2a4c02b1cb9cad706dde80", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/SOAPRA", "numberOfFiles": 3, "volume": 79087, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46099, "uuid": "4c7e812010a441e8afe5f91cfc4e8b7d", "short_code": "ob", "title": "Secondary Organic Aerosol Prediction in Realistic Atmospheres (SOAPRA) laboratory data set (2024)", "abstract": "Funded by the UK's Natural Environment Research Council (NERC) under grant NE/V012665/1, the Secondary Organic Aerosol Prediction in Realistic Atmospheres (SOAPRA) project aimed to advance the predictive capability for secondary organic aerosol in the atmosphere.\r\n\r\nA key component of the work was development of a method to constrain the rate coefficients of gas-phase reaction rates relevant to secondary organic aerosol, as published in https://doi.org/10.5194/ar-3-417-2025. The method and it's associated software were called autoCONSTRAINT, and its dataset is contained in this record.\r\n\r\nAs part of this paper, the PyCHAM (CHemistry with Aerosol Microphysics in Python) computational model was used, with the relevant outputs contained in PyCHAM_simulation_outputs_for_autoCONSTRAINT_comparison.nc. Specifically, identifiers and concentrations of individual components output from PyCHAM are provided.\r\n\r\nThe outputs from autoCONSTRAINT, relevant to this paper, are contained in autoCONSTRAINT_outputs.nc. Specifically, chemical reactions, rate coefficients and radical names are provided.\r\n\r\nConcentrations, rate coefficients, chemical reactions and component names have been recorded, in the form of netcdf files, with separate variables for each of these recordings. Results are for simulated laboratory experiments in aerosol chambers, with simulated experiments typically last for approximately 7 hours. The description of the PyCHAM and autoCONSTRAINT methods are provided in https://doi.org/10.5194/ar-3-417-2025. This work was carried out because previously a repeatable and standardisable method for quantifying rate coefficients from aerosol chamber experiments was unavailable. The work was primarily completed by Lukas Pichelstorfer, with support from Simon O'Meara, and the principal investigator was Gordon McFiggans. All data relevant to the project's 2025 paper (https://doi.org/10.5194/ar-3-417-2025) are provided." }, "onlineresource_set": [] }, { "ob_id": 46114, "uuid": "45f4551887554f20b13f7be3af39ed83", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/GOME_SO2_L3/v1.0/", "numberOfFiles": 86, "volume": 1548124548, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45725, "uuid": "cb4a019f65434da79ec212c2941e0253", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 SO2 from GOME, version 1.0", "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the Global Ozone Monitoring Experiment (GOME) instrument (on European Remote-sensing Satellite - 2 (ERS-2)) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded SO2 column densities of monthly 1°x 1° resolution grids from April 1996 to June 2003. The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. The air mass factors have been reprocessed using the CAMS Reanalysis Model for the a priori vertical profiles. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46115, "uuid": "99e79d9eef7b452c98a86f9d813c7aa5", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/TROPOMI_SO2_L3/v1.0/", "numberOfFiles": 2508, "volume": 672552677682, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45723, "uuid": "07badf9fb0f447cb90d63579bd725ecd", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily and monthly L3 SO2 from TROPOMI, version 1.0", "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the TROPOspheric Monitoring Instrument (TROPOMI) (on Sentinel 5 Precursors (S5P)) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded SO2 column densities of daily 0.25°x0.25° and monthly 0.125°x0.125° resolution grids from May 2018 to December 2024. The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. Compared to the operational TROPOspheric Monitoring Instrument (TROPOMI) product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The quality values have also been updated. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format. \r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46116, "uuid": "5f1b81ceda264ff79ab10d9b07b11fc3", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/OMI_SO2_L3/v1.0/", "numberOfFiles": 6729, "volume": 1387733253520, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45724, "uuid": "1599565404ec40aa8233bbe8fbe51e8c", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily and monthly L3 SO2 from OMI, version 1.0", "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the Ozone Monitoring Instrument (OMI) (on Aura) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\n This dataset provides gridded SO2 column densities of monthly 0.125°x0.125° and daily 0.25°x0.25° resolution grids from October 2004 to December 2022. The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. Compared to the operational OMI product, the SO2 slant columns are computed using the COBRA scheme, the air mass factors have been processed using the CAMS Reanalysis Model for the a priori vertical profiles. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46117, "uuid": "ac75cf8e929341c78eb6db0127a0890f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/OMI_NO2_L3/v1.0/monthly/", "numberOfFiles": 793, "volume": 102343832326, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45686, "uuid": "0065ceb2b1ff4f40b2a1e961faef2b77", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): OMI monthly mean level 3 tropospheric nitrogen dioxide (NO2) version 1.0 October 2004 - March 2021", "abstract": "The dataset was produced as part of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI).\r\n\r\nOzone Monitoring Instrument (OMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from October 2004 to March 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxiliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution. doi: https://doi.org/10.21944/cci-no2-omi-l3" }, "onlineresource_set": [] }, { "ob_id": 46121, "uuid": "e299013c62d34dc998d20073d5967bb2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_level_budget_closure/data/timeseries_slb_element_phase_2/unconstrained/", "numberOfFiles": 2, "volume": 1055211129, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45976, "uuid": "8db04f60f2c2442abcf70affa849791d", "short_code": "ob", "title": "ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of mean sea level and water mass budgets at global (1993-2022) and regional scale (2004-2022), at monthly resolution from unconstrained approach", "abstract": "This SLBC_cci dataset is provided as a single data collection that contains the sea level budget (SLB) components from the unconstrained approach. This dataset is a compilation of time series and regional grids of the following elements of the mean sea level budget and ocean mass budget:\r\n\r\n(a) relative sea level; \r\n(b) the thermosteric component of mean sea level, representing the change in ocean density caused by thermal expansion; \r\n(c) sea level changes due to salinity-driven density variations in the ocean; \r\n(d) the manometric and barystatic sea level (the mass contribution to sea level); \r\n(e) the glaciers contribution (excluding Greenland and Antarctica); \r\n(f) the Greenland Ice Sheet and Greenland peripheral glaciers contribution; \r\n(g) the Antarctic Ice Sheet contribution; \r\n(h) the contribution from changes in land water storage (including snow cover). \r\n\r\nUncertainties associated with each component were characterized. These uncertainties are provided as variance-covariance matrices, available at a monthly timescale for both global and regional scales. These matrices enable the estimation of uncertainties in trends and acceleration across any timescales.\r\n\r\nIn the second phase of the project, sea-level budget closure was evaluated using two complementary approaches: (a) an unconstrained approach, in which the sum of the individual contributors is directly compared with the observed relative sea-level change, and (b) a constrained approach based on an inverse method that enforces budget closure while weighting each contributor according to its uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46122, "uuid": "a35b886155724a198f0c054d1c969147", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_level_budget_closure/data/timeseries_slb_element_phase_2/constrained/", "numberOfFiles": 2, "volume": 1284232, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45974, "uuid": "d9e614df708c40ee8ae097cdaf8279a0", "short_code": "ob", "title": "ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of global mean sea level budget elements (2004-2022, at monthly resolution) from constrained approach", "abstract": "The SLBC_cci+ dataset is provided as a single data collection that contains the Sea Level Budget (SLB) components from the constrained approach. This dataset is a compilation of time series and regional grids of the following elements of the mean sea level budget and ocean mass budget:\r\n\r\n(a) relative sea level; \r\n(b) the thermosteric component of mean sea level, representing the change in ocean density caused by thermal expansion; \r\n(c) sea level changes due to salinity-driven density variations in the ocean; \r\n(d) the mass contribution to mean sea level.\r\n\r\nUncertainties associated with each component were characterized. These uncertainties are provided as variance-covariance matrices, available at a monthly timescale for both global and regional scales. These matrices enable the estimation of uncertainties in trends and acceleration across any timescales.\r\n\r\nIn the second phase of the project, sea-level budget closure was evaluated using two complementary approaches: (a) an unconstrained approach, in which the sum of the individual contributors is directly compared with the observed relative sea-level change, and (b) a constrained approach based on an inverse method that enforces budget closure while weighting each contributor according to its uncertainty." }, "onlineresource_set": [] }, { "ob_id": 46130, "uuid": "7a1392101c4444e2aba7c45c50d53fcf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2026/PROMS_IGCMmodel_output", "numberOfFiles": 112, "volume": 122700535865, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46129, "uuid": "92f8cee08d884d27a99397ae8a299f73", "short_code": "ob", "title": "Climate model simulations of decadal-scale South Pacific Convergence Zone (SPCZ) rainfall using the Intermediate General Circulation Model version 4 (IGCM4)", "abstract": "This dataset contains outputs from modelling experiments using the Intermediate Global Circulation Model version 4 (IGCM4). The experiments use plausible scenarios of climate variability to simulate the processes driving South Pacific Convergence Zone (SPCZ) rainfall, and the decadal-scale SPCZ changes likely under different past and future modes of climate variability.\r\n\r\nDirectory names refer to the different experiments, in which perturbations were added onto sea surface temperatures corresponding to the: Atlantic Multidecadal Variability (A); Interdecadal Pacific Oscillation (I); and Southern Ocean (S). The numbers preceding each letter encode the size of the perturbation (see Skinner et al. for full details). For example, the directory 0A0I0S contains variables from the pre-industrial control experiment onto which no perturbations were added, while the directory 0A-3I0S contains variables from the experiment in which a three standard deviation magnitude negative IPO event was added onto the prescribed sea surface temperatures.\r\n\r\nEach experiment's directory contains the following daily data in netCDF format:\r\n- clouds.nc - Low, mid and high levels clouds\r\n- olr.nc - Outgoing longwave radiation\r\n- ppt.nc - Precipitation\r\n- tsfc.nc - Surface temperature\r\n- zg_500.nc - Geopotential height at 500 hPa\r\n- ta_250.nc - Air temperature at 250 hPa\r\n- ta_850.nc - Air temperature at 850 hPa\r\n- uwnd_250.nc - Zonal wind velocity at 250 hPa\r\n- uwnd_850.nc - Zonal wind velocity at 850 hPa\r\n- vwnd_250.nc - Meridional wind velocity at 250 hPa\r\n- vwnd_850.nc - Meridional wind velocity at 850 hPa\r\n\r\nThis dataset has two related publications:\r\n- Peaple et al. \"Ocean variability drives a millennial-scale shift in South Pacific hydroclimate.\" Communications Earth & Environment 6.1 (2025): 679. DOI: https://doi.org/10.1038/s43247-025-02676-5 (linked in the documentation section below)\r\n- Skinner et al. \"Decadal-scale drivers of South Pacific hydroclimate variability.\" Quarterly Journal of the Royal Meteorological Society (2026)\r\n\r\nThis dataset was produced as part of the Natural Environment Research Council (NERC) project Pacific Rainfall over Millennial Scales (PROMS) (grant reference: NE/W005565/1)." }, "onlineresource_set": [] }, { "ob_id": 46140, "uuid": "2aec07179189458581debcc72e747e4a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-202607/", "numberOfFiles": 6060, "volume": 3270634935, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46135, "uuid": "bfaf1bbf650a4a48ae33e4424b66c66d", "short_code": "ob", "title": "MIDAS Open: UK hourly solar radiation data, v202607", "abstract": "The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 46141, "uuid": "3fac8779579d46b2b46ed74572ef22ee", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-202607/", "numberOfFiles": 24347, "volume": 4455334601, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46132, "uuid": "187d44d4dafd4d53917794643765765f", "short_code": "ob", "title": "MIDAS Open: UK soil temperature data, v202607", "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 46142, "uuid": "c16bb9319ccf431ba5cc57c472b2983e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-mean-wind-obs/dataset-version-202607/", "numberOfFiles": 16155, "volume": 9523851052, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46133, "uuid": "c7393fdc2c974071a2efd7f8601b1bab", "short_code": "ob", "title": "MIDAS Open: UK mean wind data, v202607", "abstract": "The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 46143, "uuid": "8176a475b8f144dda8bf16efce5fd048", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-weather-obs/dataset-version-202607/", "numberOfFiles": 54592, "volume": 36182827211, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46134, "uuid": "d04207b551674c07801b7d4e6d883e50", "short_code": "ob", "title": "MIDAS Open: UK hourly weather observation data, v202607", "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data." }, "onlineresource_set": [] }, { "ob_id": 46144, "uuid": "f0cf083484b74a2fb7c1f659eaca7075", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-202607/", "numberOfFiles": 65997, "volume": 2283367894, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46138, "uuid": "1854bb17ec454841b04e243a1352f25a", "short_code": "ob", "title": "MIDAS Open: UK daily temperature data, v202607", "abstract": "The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2025. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 46145, "uuid": "b00944df5b4e4d5589997517fa8774b0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-rain-obs/dataset-version-202607/", "numberOfFiles": 19412, "volume": 7857376800, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46136, "uuid": "40577fca24d1483eb1fc9d6d6648e465", "short_code": "ob", "title": "MIDAS Open: UK hourly rainfall data, v202607", "abstract": "The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset." }, "onlineresource_set": [] }, { "ob_id": 46146, "uuid": "2fafd6265c0e47b483561b99dea7a065", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-weather-obs/dataset-version-202607/", "numberOfFiles": 52815, "volume": 3267549207, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46137, "uuid": "5a99fe8bd1364e2f85f9fde21e494ae1", "short_code": "ob", "title": "MIDAS Open: UK daily weather observation data, v202607", "abstract": "The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2025. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 46147, "uuid": "6a29229fbaa8434eb64af8e2b87a2b0d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-rain-obs/dataset-version-202607/", "numberOfFiles": 477047, "volume": 9618307918, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46139, "uuid": "88b5bdf6131e4c1cb7acb8bde984deda", "short_code": "ob", "title": "MIDAS Open: UK daily rainfall data, v202607", "abstract": "The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2025. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202507) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 46148, "uuid": "d22f5d0a34894b9f98abcc7f8f9dc911", "short_code": "result", "curationCategory": "", "dataPath": "/badc/congopeat/data/congo_peat_elevation_lidar", "numberOfFiles": 4, "volume": 2454603091, "fileFormat": "LAZ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45958, "uuid": "9d86d7af20d9476b95071e7dc2d59ba2", "short_code": "ob", "title": "UAV-mounted lidar measurements of peat surface elevation from the Cuvette Centrale peatlands, Congo Basin (February 2019)", "abstract": "This dataset contains peat surface elevation measurements acquired between 17–27 February 2019 from Epena and Ekolongouma, two locations in the Cuvette Centrale peatlands region of the central Congo Basin.\r\n\r\nThe data consist of two airborne laser scanning (ALS, or lidar) tracks acquired using a Delair DT26x unmanned aerial vehicle (UAV, or drone) equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per square metre used with a local DGPS (Differential Global Positioning System) ground station. The profiles extend from the peat edge to 2 km and 5 km into the peat region.\r\n\r\nCoordinate system: WGS84, EPSG:4326\r\nFile format: .laz, the industry-standard compressed ALS data format (linked in documentation section)\r\nRelated publication: Davenport, I.J.; McNicol, I.; Mitchard, E.T.A.; Dargie, G.; Suspense, I.; Milongo, B.; Bocko, Y.E.; Hawthorne, D.; Lawson, I.; Baird, A.J.; et al. First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone. Remote Sens. 2020, 12, 2196. https://doi.org/10.3390/rs12142196 (linked in documentation section)\r\n\r\nThis dataset was produced as part of the Natural Environment Research Council (NERC) project CongoPeat: Past, Present and Future of the Peatlands of the Central Congo Basin (grant reference: NE/R016860/1)." }, "onlineresource_set": [] }, { "ob_id": 46149, "uuid": "6a3021e3f0394fdf9d394df1148c566c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/congopeat/data/Congo_Peat_JULES_Runs", "numberOfFiles": 186, "volume": 29143537667, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46092, "uuid": "d61136bca15d4e3f8547c4b539fb5656", "short_code": "ob", "title": "JULES-Peat model outputs simulating the formation and development of the Cuvette Centrale peatlands, Congo Basin (20,000 BP to 60 BP / 18,000 BCE to 1940 CE)", "abstract": "This dataset contains model outputs which simulate the formation and development of the Central Congo Basin peatlands. The model used was JULES-Peat, a new version of the Joint UK Land Environment Simulator (JULES), the land surface component of the UK Earth System Model.\r\n\r\nTen simulations were run under conditions representing those in the Central Congo Basin peatlands over the past 20,000 years, introducing new changes to the model in each new simulation. Details of the ten model runs, files used, and code changes can be found in the document Congo_Peat_JULES_runs_details. The files used to run JULES can be found in the Run_JULES_u-an231 directory.\r\n\r\nThe temporal range of the data is reported in years before present (BP), where present is the year 2000 CE. 20,000 BP to 60 BP is equivalent to 18,000 BCE to 1940 CE.\r\n\r\nThis dataset has one related publication: \"Improving the representation of tropical peatland processes in the JULES land surface model using data from the Central Congo Basin\", Cook et al. 2026 (linked in the documentation section).\r\n\r\nThis dataset was produced as part of the Natural Environment Research Council (NERC) project CongoPeat: Past, Present and Future of the Peatlands of the Central Congo Basin (grant reference: NE/R016860/1). The modelling study was carried out by Peter Anthony Cook at the Global Systems Institute, University of Exeter, Exeter, UK." }, "onlineresource_set": [] }, { "ob_id": 46150, "uuid": "0cecd736976648bf9599ecd35e2869e1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/eocis/data/CHUK/land_surface_temperature/LANDSAT8_TIRS/L2/v1.0", "numberOfFiles": 1827, "volume": 7366618967, "fileFormat": "These data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46098, "uuid": "8cd69bd991a942a3828bd7b24d039ad7", "short_code": "ob", "title": "EOCIS: Daily land surface temperature from Landsat 8/9, level 2 merged (L2) UK product, version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Thermal Infrared Sensor (TIRS) on Landsat 8/9. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime temperature estimates are provided at approximately 10:30 local solar time. Temperatures are reported in Kelvin and represent the skin temperature of the Earth's surface.\r\n\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the UK Earth Observation Climate Information Service (EOCIS) and is based on development funded under ESA CCI with additional funding from NCEO. The EOCIS dataset includes and continues the CCI v4 CDR (currently under development)." }, "onlineresource_set": [] }, { "ob_id": 46153, "uuid": "a36aa5d31bfc40888c099ad0c97e093a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/GOME_NO2_L3/v1.1", "numberOfFiles": 175, "volume": 2761053614, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45795, "uuid": "d97ab4186e59417db70138662996f28a", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME NO2 L3 data products, version 1.1", "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment (GOME) onboard the European Remote Sensing Satellite (ERS-2). The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe GOME NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.5° × 0.5° and 1.0° × 1.0°.\r\n\r\nThe version number is 1.1. The data are provided in NetCDF format." }, "onlineresource_set": [] }, { "ob_id": 46154, "uuid": "1df57c747a4848debd23a12444f55718", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/SCIAMACHY_NO2_L3/v1.1/", "numberOfFiles": 235, "volume": 3932965845, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45796, "uuid": "3ff20589e41d4fd0a573653bfccb5c59", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning SCIAMACHY NO2 L3 data products, version 1.1", "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) onboard the ESA Environmental Satellite (ENVISAT). The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe SCIAMACHY NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.5° × 0.5° and 1.0° × 1.0°.\r\n\r\nThe version number is 1.1. The data are provided in NetCDF format." }, "onlineresource_set": [] }, { "ob_id": 46155, "uuid": "13527344c2da4a4bbe095a41d7604df0", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/Airborne_particles_spore_traps/", "numberOfFiles": 1538, "volume": 50430499, "fileFormat": "JPEG", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45903, "uuid": "b11a935c076243c1bf5c0c590e62af66", "short_code": "ob", "title": "Images of airborne particles including microplastics captured using Burkard spore traps at Hull, UK and Gqeberha, South Africa (March, July, and August 2023)", "abstract": "This dataset contains images of airborne particles captured by Burkard spore traps, a method commonly used for global pollen monitoring. The images can be used for the identification, characterisation, and quantification of outdoor airborne particles, including microplastics.\r\n\r\nBurkard spore traps continuously sampled air for seven days at the following times and locations:\r\n- The University of Hull, UK (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 10:00 on 10/03/2023\r\n- The University of Hull, UK (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 11:00 on 18/07/2023\r\n- Nelson Mandela University, Gqeberha, South Africa (34° 0'4.66\"S; 25°40'2.40\"E) starting at 13:00 on 03/08/2023\r\n\r\nTraps were on flat roofs with the sampling orifice at least 1 m above the surface and at least 2 m away from the building edge. Tape adhesive was glycine jelly and an oxidative digest using 30% hydrogen peroxide was performed to remove organic mater.\r\n\r\nThis dataset consists of screenshot images of airborne particles during downstream analysis with Fourier Transform Infrared (FTIR) spectroscopy, used to identify materials, in OMNIC Picta software. Low-resolution screenshots are provided because the original images are no longer available.\r\n\r\nFiles are named using the convention Burkard_City_Country_Month_DataCollectionDay_ParticleNumber.jpg, e.g.:\r\n- Burkard_Gqeberha_SA_August_1B_3.jpg\r\n- Burkard_Hull_UK_March_C4_48.jpg\r\n\r\nThis dataset was produced under Natural Environment Research Council (NERC) project 'Development of the first global standard for airborne microplastic monitoring' (grant reference: NE/X010201/1)." }, "onlineresource_set": [] }, { "ob_id": 46161, "uuid": "f82740ff279e4095b5bf506a2dbb6952", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2026/aerosol_solinsol_paper_data", "numberOfFiles": 14, "volume": 94081745, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46160, "uuid": "2de684c1211e4d89a5deba150eeb3689", "short_code": "ob", "title": "Model output data to support Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK.", "abstract": "This dataset contains the [expand the acronym here]UM-RAL3.3 model output needed to reproduce figures and tables in \"Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK\" by Angela Mynard, Anthony C Jones, Joseph Carton-Kelly, Paul Field, Steven J Able and Florent Fabien Malavelle, submitted to Geoscientific Model Development, July 2026. This data supports reproduction of the model aspect of the figures and tables only. See paper for observational data sources.\r\n\r\nThe data consist of the main case study, sensitivity experiments and forecast lead time experiments." }, "onlineresource_set": [] }, { "ob_id": 46165, "uuid": "ce8af87d947848bfaf39f1125df324fb", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/gosat/data/ch4/UoL_gosat1_v10/CH4_GOSAT_OCPR/v10.0/", "numberOfFiles": 5897, "volume": 10600083122, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46123, "uuid": "94d6572a308e477c86e0ce7c4d771311", "short_code": "ob", "title": "University of Leicester GOSAT Proxy XCH4 v10.0", "abstract": "The University of Leicester GOSAT Proxy XCH4 v10.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S) CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes. GOSAT Level 1B files (version 220/221) were acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details." }, "onlineresource_set": [] }, { "ob_id": 46166, "uuid": "1f9b2f5cc068456eb0cd66848a7ee980", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/gosat/data/ch4/UoL_gosat2_v2/CH4_GOSAT2_OCPR/v2.0/", "numberOfFiles": 2383, "volume": 5189138505, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46124, "uuid": "8209b9acb92e4ba69188c9c8ff7a3b76", "short_code": "ob", "title": "University of Leicester GOSAT-2 Proxy XCH4, v2.0", "abstract": "The University of Leicester GOSAT-2 Proxy XCH4, v2.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is the University of Leicester GOSAT-2 Proxy XCH4 v2.0 dataset. This dataset is consistent with the GOSAT dataset (https://catalogue.ceda.ac.uk/uuid/94d6572a308e477c86e0ce7c4d771311/) The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). \r\n\r\nWe bias-correct this data to be consistent with the GOSAT dataset and evaluate it’s performance against the the Total Carbon Column Observing Network via the same methodology as used for the GOSAT data. See process information and documentation for further details." }, "onlineresource_set": [] }, { "ob_id": 46181, "uuid": "3f7d1d237c384d09aeeaabdf8732d8f7", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/splice/data/SPLICE_Field_Data_Spectrometer", "numberOfFiles": 133, "volume": 11028550, "fileFormat": "This dataset contains 128 .sig files and one .csv file, with a total size of 10 MB.\r\nFile Structure: The Alice_Holt_Hyperspectral.csv is organized by wavelength (nm), and sample (as given in the\r\nfilename", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46180, "uuid": "cb437b7efe664348b8aab3b6a86e035c", "short_code": "ob", "title": "SPLICE project: Spectral information for oak and hazel, Alice Holt Forest, Hampshire, UK, July 2023", "abstract": "This dataset contains spectral information collected within the Alice Holt Forest. This work was conducted as part of a wider field campaign examining photosynthesis and forest structure across the Alice Holt site.\r\n\r\nData were collected between from 18th-20th July 2023. Measurements were taken from each leaf only during the day.\r\n\r\nFiles are provided following the naming convention H#_B#_C#_S.000X.sig. In this, T’ or ‘H’ shows the tree or understory (Hazel) measurement, and the platform, branch, and leaf-cluster are given (#). The final number denotes measurement, with 5 (X) measurements taken from each cluster, each from a different leaf in the middle avoiding the midvein and any damaged areas. Measurements were not taken for all branches or leaf-clusters, as some branches were taken down by wind between labelling and the measurement period.\r\n\r\nRaw data are provided in 128 .sig files. Raw data were processed in python using Specdal and FieldSpecUtils packages. First, regions of spectrometer overlap (1000 and 1800 nm) were averaged and spliced. Next, spectra were linearly interpolated to correspond to wavelengths of 1nm spacing. Then, the relative reflectance spectra were multiplied by the white reference panel’s known laboratory calibrated reflectance profile to yield absolute reflectance. The processed data are provided in Alice_Holt_Hyperspectral.csv." }, "onlineresource_set": [] }, { "ob_id": 46186, "uuid": "832570cce0974d9bb395efcd4c0924f4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/uol_gosat_sif/data/v4.0", "numberOfFiles": 6786, "volume": 3752414551, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45410, "uuid": "933ce89626b246b6ade9a9c6a0dcddf5", "short_code": "ob", "title": "Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v4.0)", "abstract": "Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP). Dataset contains Level 2 and Level 3 SIF products, using combinations of S and P polarisations, exhibiting variable global coverage for the period between April 2009 and July 2025. Level 2 data are in daily files and are not averaged. Level 3 data are averaged spatially and temporally on monthly and weekly timescales.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS (Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. SIF at top of atmosphere has been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm.\r\n\r\nFor more information on the retrieval setup and bias correction, please see Part II Remote Sensing of Chlorophyll Fluorescence: https://hdl.handle.net/2381/42868." }, "onlineresource_set": [] }, { "ob_id": 46195, "uuid": "69dc3955703c44168ac134ca23b7a69a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-cvao/data/ncas-dc-gc-fid-4/20190515_longterm/v1.0/", "numberOfFiles": 2, "volume": 1889909, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46194, "uuid": "c24e2ac59c094346a45535fe4e51752a", "short_code": "ob", "title": "Longterm observations of volatile organic compounds from the NCAS Dual Column Gas Chromatograph- Flame Ionization Detector unit 4 deployed at the Cabo Verde Atmospheric Observatory, v1.0 (20190515-onwards)", "abstract": "Observations of volatile organic compound concentrations from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's Dual Column Gas Chromatograph- Flame Ionization Detector unit 4 (ncas-dc-gc-fid-4) deployed at the Cabo Verde Atmospheric Observatory from May 2019. These observations were taken as part of longterm observations at the site.\r\n\r\nData products from this deployment include: dimethyl sulfide concentrations.\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": 46197, "uuid": "625cefae8e294f769da06ce9255bead2", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/river_discharge/data/RD/RD-ALTI/v2.0/", "numberOfFiles": 717, "volume": 31784405, "fileFormat": "Data are in CSV and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45174, "uuid": "543bea782a664a9cb044b1cfd82d31fe", "short_code": "ob", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Altimetry-based River Discharge product, v2.0", "abstract": "This dataset comprises the altimetry-based river discharge (RD-alti) Climate Research Data Package (CRDP) v2.0, developed under the ESA CCI River Discharge precursor project phase 2 (RD_cci+). It provides long-term satellite-derived river discharge time series spanning at least last two decades and, at best, from 1992 to today, at designated locations. The Water Surface Elevation (WSE) time series are computed by LEGOS in collaboration with EOLA and Hydro Matters, while the river discharge time series are derived by Hydro Matters and EOLA.\r\n\r\nThe methodology, detailed in the associated ATBD (Algorithm Theoretical Baseline Document), generates two distinct RD-alti products:\r\n1.\tStation-level discharge estimates: A rating curve has been established for each station using a calibration period based on in-situ discharge time series and merged Water Surface Elevation (WSE) time series. This rating curve was then applied to the entire merged WSE series to produce a continuous river discharge (RD) time series per station.\r\n2.\tMission-track-specific discharge estimates: For each station, independent rating curves were derived for individual satellite mission-tracks, using the same calibration period. These rating curves were computed between in-situ discharge time series and single-mission WSE time series, then applied to the full single-mission WSE dataset to generate river discharge estimates per mission-track and per station.\r\n\r\nThe resulting CRDP delivers two complementary river discharge products, enabling robust analysis of river discharge dynamics over two decades." }, "onlineresource_set": [] }, { "ob_id": 46199, "uuid": "f852c9604cf848cfbddc12f00a504702", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/river_discharge/data/RD/RD-width/v1.0/", "numberOfFiles": 91, "volume": 4426104, "fileFormat": "Data are in NetCDF and CSV format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45176, "uuid": "dee2de144465463280d3d91fdea0375a", "short_code": "ob", "title": "ESA River Discharge Climate Change Initiative (RD_cci): River width based River Discharge product, v1.0", "abstract": "This dataset comprises the river-width-based river discharge (RD-WIDTH) Climate Research Data Package (CRDP), derived from optical satellite imagery within the ESA Climate Change Initiative (CCI) River Discharge project (RD_cci).\r\n\r\nIt provides long-term satellite river discharge (RD) time series at specified locations. River discharge (in m³/s) corresponds to the water volume passing through the river cross-section per unit of time. In this dataset, discharge is estimated from multi-mission satellite imagery river width time series using a Non-Parametric Quantile Mapping (NPQM) approach. Monte Carlo simulations are used to account for uncertainties in both discharge and river width, and the resulting non-parametric mapping provides river discharge estimates together with their associated uncertainties." }, "onlineresource_set": [] }, { "ob_id": 46202, "uuid": "0b959e864c6b4c63b1abb33641dbb354", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-lidar-dop-1/20180801_moccha/v1.0", "numberOfFiles": 103, "volume": 76805529898, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46201, "uuid": "cd8c8121bda14e5c81440eef14d7d464", "short_code": "ob", "title": "Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA): aerosol backscatter and radial winds from the NCAS Doppler Aerosol Lidar unit 1 deployed onboard Swedish Maritime Administration Icebreaker Oden, v1.0 (20180809-20180920)", "abstract": "Aerosol backscatter and radial winds measurements from the NCAS Doppler Aerosol Lidar unit 1 deployed onboard Swedish Maritime Administration Icebreaker Oden. These observations were taken as part of Microbiology-Ocean-Cloud-Coupling in the High Arctic (MOCCHA) between 20180809 and 20180920.\n\nData products from this deployment include: aerosol-backscatter-radial-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": 46206, "uuid": "dcde42f5d4b642e99b26ef795b8f22ae", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-lidar-dop-1/20210525_aquable/v1.0", "numberOfFiles": 228, "volume": 153683675737, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46205, "uuid": "b1357386ce034eb68a4df359984207e1", "short_code": "ob", "title": "AQUABLE: aerosol backscatter and radial winds from the NCAS Doppler Aerosol Lidar unit 1 deployed at Manchester Air Quality Supersite (MAQS), v1.0 (20210604-20210809)", "abstract": "Aerosol backscatter and radial winds measurements from the NCAS Doppler Aerosol Lidar unit 1 deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of AQUABLE between 20210604 and 20210809.\n\nData products from this deployment include: aerosol-backscatter-radial-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": 46209, "uuid": "6f19535f36be4559bfd4417d1ef8f5d3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-mobile-x-band-radar-1/20230525_woest/v1.0.0", "numberOfFiles": 44022, "volume": 2212414678795, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46208, "uuid": "9e1272b352044260961a6e438a46e83f", "short_code": "ob", "title": "Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST): volume scan from the NCAS X-Band Mobile Radar unit 1 deployed at MOD Lyneham, v1.0.0 (20230525-20230908)", "abstract": "Volume (set of PPIs) scan measurements from the NCAS X-Band Mobile Radar unit 1 deployed at MOD Lyneham. These observations were taken as part of Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230525 and 20230908.\n\nData products from this deployment include: vol\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": 46212, "uuid": "bc6a4b169f574578aab2f50d22852e3e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-mrr-1/20210525_aquable/v1.0", "numberOfFiles": 133, "volume": 14437840267, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46211, "uuid": "c7365ad6d24e4d1f8c28c2ec07fea16e", "short_code": "ob", "title": "AQUABLE: rain liquid water content velocity reflectivity from the NCAS Micro Rain Radar unit 1 deployed at Manchester Air Quality Supersite (MAQS), v1.0 (20210603-20210803)", "abstract": "Rain liquid water content (lwc), velocity and reflectivity measurements from the NCAS Micro Rain Radar unit 1 deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of AQUABLE between 20210603 and 20210803.\n\nData products from this deployment include: rain-lwc-velocity-reflectivity\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": 46216, "uuid": "e0b644308436420796f5c22eed24318c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-mobile/data/ncas-radar-x-band-2/20231001_cao/v1.0.0", "numberOfFiles": 179485, "volume": 11604781227513, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46215, "uuid": "7a268bc6e71f4a71826d90463fd85316", "short_code": "ob", "title": "NCAS Long Term Observations at Chilbolton Observatory: birdbath and volume scans from the NCAS X-Band Mobile Radar unit 2 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.0.0 (20231001-20250306)", "abstract": "Birdbath and volume scan measurements from the NCAS X-Band Mobile Radar unit 2 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of NCAS Long Term Observations at Chilbolton Observatory between 20231001 and 20250306.\r\n\r\nData products from this deployment include: birdbath, vol\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": 46221, "uuid": "f0bf5de0bdb64fb8af5593e82fa1a5b1", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/splice/data/SPLICE_Field_Data_Drone", "numberOfFiles": 437, "volume": 217516755, "fileFormat": "The dataset is comprised of 434 files, that are a total of 305 MB. Files are in NetCDF, CSV and PDF formats. Files with .pico extension are JSON files wrapped in a custom extension.\r\n\r\nArchive structure: Data from both site locations are within the ‘Site_One_51_155396_-0_864384’ and ‘Site_Two_51_155453_-0_865355’ directories, with the flights for each given in subsequent directories, e.g., ‘First Flight_51_155373_-0_864409’. Data for each flight is then found in e.g.,\r\n‘splice_20230718_d2_s1_40a’. Calibration files and processing code are also included. For full details of the structure please see the documentation_drone_flights.pdf file archived with the data.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46220, "uuid": "dae92d0e12d7498292d2f71829fcd1c7", "short_code": "ob", "title": "SPLICE: Drone flights, Alice Holt Forest, Hampshire, UK, July 2023", "abstract": "This dataset contains information from drone flights over the Alice Holt Forest. This work was conducted as part of a wider field campaign examining photosynthesis and forest structure across the Alice Holt site.\r\n\r\nData were collected in the daytime on the 18th July 2023. Flights were conducted at two sites within the Alice Holt forest, the first at approximately 51.155396° N, –0.864384° W (‘Site One’), and the second at approximately 51.155453° N, –0.865355° W (‘Site Two’). These locations are shown visually in ‘Sample_Locations.pdf’. The positions within each flight are recorded in the relevant Trigger_Log directories.\r\n\r\nThe data have been processed to radiances using a python conversion tool which is given within the dataset (Piccolo_Radiometric_Conversion_Tool.py). The dataset is comprised of 434 files, that are a total of 305 MB. Data are provided as both .nc and .csv files. The XXX_irradiance.csv files contain irradiances (W cm-2 nm-1) are organized by wavelength (nm) and acquisition time, with five samples at each wavelength. The XXX_radiance.csv files contain a radiance (W sr-1 cm-2 nm-1) for each wavelength.\r\n\r\nData from both site locations are within the ‘Site_One_51_155396_-0_864384’ and ‘Site_Two_51_155453_-0_865355’ directories, with the flights for each given in subsequent directories, e.g., ‘First Flight_51_155373_-0_864409’. Data for each flight is then found in e.g., ‘splice_20230718_d2_s1_40a’. Calibration files and processing code are also included." }, "onlineresource_set": [] }, { "ob_id": 46226, "uuid": "05824c222f004de189a456666e7789a4", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/tls/data/raw/uk/AH2/2023-07-18-AHL2.PROJ", "numberOfFiles": 52271, "volume": 206231501239, "fileFormat": "The following terrestrial LiDAR-derived products are available the Alice Holt plot:\r\n1. Raw terrestrial LiDAR data from each scan (no filtering was applied in RiSCAN PRO), stored in\r\nthe RXP data stream format developed by RIEGL.\r\n2. Transformation matrices necessary for rotating and translating the coordinate system of each\r\nscan, into the coordinate system of the first scan. Stored in DAT format.\r\n3. Pre-processed terrestrial LiDAR data:\r\na. full-resolution 10m tiled plot point clouds including attributes such as XYZ, scan position\r\nindex, reflectance, deviation, etc. stored in polygon PLY format.\r\nb. downsampled 10m tiled plot point clouds including attributes such as XYZ, scan position\r\nindex, reflectance, deviation, etc. stored in polygon PLY format.\r\nc. A tile_index file (maps the spatial location of the tiled point clouds) stored in DAT format.\r\nd. Bounding geometry files setting plot boundaries with and without a buffer surrounding the\r\nplot. Stored in shapefile SHP, DBF, SHX and CPG formats.\r\n4. Downsampled 10m tiled plot point clouds segmented into leaf, wood, ground points or coarse\r\nwoody debris. Stored in polygon file format PLY format.\r\n5. Wood-leaf separated tree-level point clouds including segmentation results and classification\r\nprobabilities for each point are stored in polygon PLY format.\r\n6. QSM files:\r\na. in_plot CSV (for plots processed with TLS2trees) lists all trees to be modelled with QSMs\r\nas they are located inside the plot boundary.\r\nb. out_plot CSV (for plots processed with TLS2trees) lists all trees NOT to be modelled as\r\nthey are located outside the plot boundary.\r\nc. plot_boundary CSV (for plots processed with TLS2trees) shows the location of all\r\nin_plot trees within each plot boundary.\r\nd. QSM processing files (.MAT Matlab).\r\ne. QSMs derived from each woody tree-level point cloud, (.MAT Matlab)\r\n7. We provide pre-processed and segmented terrestrial LiDAR data in PLY format as it supports\r\nfull 3D object representation, including polygons and geometric primitives, in addition to point\r\ndata. This is essential for storing quantitative structure models (QSMs), which go beyond point\r\nclouds to describe tree geometry. The PLY format is open, widely supported in Python and R,\r\nand can be converted to LAS/LAZ when only point data are required.\r\n8. Tree-attributes file (.CSV) containing biophysical parameters derived from both the point clouds\r\nand QSMs: DBH, tree height, tree-level volume and AGB with uncertainty, plot-level AGB and\r\nassociated uncertainty.\r\n9. Figures of all individually segmented trees arranged by tree DBH size (largest to smallest DBH)\r\nfor each FBRMS plot(PNG image format).\r\n10. GNSS coordinates (geographical coordinate system: WGS84 Cartesian) for all scan positions\r\nstored in KMZ zip-compressed format. These files are available for the seven French Guiana\r\nand Gabon FBRMS plots.\r\n\r\nMore detail can be found in the Site_and_data_collection_and_processing_details.pdf document archived with the data", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46227, "uuid": "8f932c8964904e1ab07c1a5e2817fe12", "short_code": "ob", "title": "SPLICE: Terrestrial Laser Scanning (TLS) for UK Alice Holt plot AH2, July 2023", "abstract": "Terrestrial laser scanning was collected on the 18th July 2023 by Mat Disney and Meg Stretton using a Riegl VZ-400i for the SPLICE project. The data was collected at the Alice Holt Forest, which is an ancient mixed woodland spanning approximately 850 hectares on Gault Clay and Upper Greensand soils at the north-western edge of the Weald in southeast England.\r\n\r\nScans were acquired using chain sampling at 34 locations along a 12.5 m Cartesian grid to ensure sufficient data overlap to produce a high-quality point cloud of this forest plot. Capturing a complete sample of the scene at each location requires two scans (an upright scan and a tilt scan), owing to a 100° field of view. Upright scans are odd-numbered while tilt scans are even-numbered. The angular resolution between sequentially fired pulses is 0.04°, resulting in approximately 22.4 million emitted pulses per scan (i.e., 5.42 billion per ha). Up to four targets can be resolved per pulse, with a nominal ranging accuracy of 5 mm. The laser itself is characterized by a beam divergence of 0.35 mrad, and the diameter of the beam at emission is 7 mm (e.g., the diameter of the beam at a range of 50 m, would be 21 mm). The pulse repetition rate is 300 kHz, therefore, each scan takes approximately 3 minutes to complete.\r\n\r\nTo generate a plot-level point cloud, scans were coarse registered using GNSS enabled Auto-Registration 2 (AR2) with coarse registration fine-tuned using Multi Station Adjustment 2 (MSA2). The Sensor's Orientation and Position (SOP) matrix for all scans was saved into the \"matrix\" project directory and the GNSS coordinates (geographical coordinate system: WGS84 Cartesian) for all scans saved as a .kmz file.\r\n\r\nFor more information please see the Site_and_data_collection_and_processing_details-2.pdf and SPLICE_example_TLS_data_directory_structure-1.pdf documents archived with the data." }, "onlineresource_set": [] }, { "ob_id": 46229, "uuid": "a637c5dce49440c6adb312c566a7fb2c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2025/Southern_Ocean_Clouds/dms_rothera_v2", "numberOfFiles": 2, "volume": 787807, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46228, "uuid": "139744a1b5764ca5a0306f37ad14105a", "short_code": "ob", "title": "DMS concentrations in the Antarctic Peninsula (v2)", "abstract": "This dataset contains the time series of dimethyl sulfate (DMS) concentrations measured at East Beach Hut near the British Antarctic Survey (BAS) Rothera station off the coast of the Antarctic peninsula since late Feb 2022, as part of the Southern Ocean Clouds (SOC) project.\r\n\r\nThe data was collected using an iDirac gas chromatograph. DMS is naturally emitted from the oceans into the atmosphere, and has a direct effect on climate through cloud formation.\r\n\r\nThis data is openly accessible for research purposes. Please do contact the authors if you plan to use this data for publications." }, "onlineresource_set": [] }, { "ob_id": 46231, "uuid": "41b13135d2954707aa42ef370fb7ec20", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/RAMIP_CESM2/ICEFRAC/", "numberOfFiles": 61, "volume": 8679436996, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46230, "uuid": "acb6ff397e014ade82f131e8eeb2850d", "short_code": "ob", "title": "Ice fraction data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains ice fraction 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": 46246, "uuid": "b64d9a8239ee4d2e9e3984ff8bd471bc", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/river_discharge/data/RD/RD-combined/v2.0/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in CSV and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45726, "uuid": "8a76d9fe4a3f4dcdbf023041ad4dec85", "short_code": "ob", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v2.0", "abstract": "This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci). It forms v2.0 of their combined river discharge product (RD-merge).\r\n\r\nThese river discharge time series were estimated at multiple locations by combining satellite-derived observations, including water levels from altimeters, reflectance indices from multispectral sensors, and river width from optical imagery. Each dataset was first independently converted into discharge estimates, which were then integrated using a weighted averaging approach." }, "onlineresource_set": [] }, { "ob_id": 46247, "uuid": "3a3350bb1c2540cb87ee509e0d409529", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/river_discharge/data/RD/RD-multi/v2.0/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in CSV and NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45175, "uuid": "4d3dbae68be14f9787f7371b25f80156", "short_code": "ob", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v2.0", "abstract": "This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci). \r\n\r\nThese river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series. These multi-mission, multispectral time series are also referred to as CM. The river discharges are derived following several approaches:\r\n\r\nCalibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCalibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nUncalibrated CM approach – CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series." }, "onlineresource_set": [] }, { "ob_id": 46260, "uuid": "670f9cbdb2a54fcdb2a8a28862eed42b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-maqs/data/maqs-fidas-1/20231001_longterm/v3.4.1", "numberOfFiles": 3, "volume": 2511799, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46259, "uuid": "39e5d7b35ddd494e90adf9f5993b03cb", "short_code": "ob", "title": "NCAS Long Term Observations: surface meteorology and particle matter concentration measurements from the maqs-fidas-1 deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "Surface meteorology and particle matter concentration measurements from the maqs-fidas-1 deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\r\n\r\nData products from this deployment include: surface-met, pm-concentration\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, "onlineresource_set": [] }, { "ob_id": 46263, "uuid": "28dcb46556504e61a74c56309d8ff87a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-maqs/data/maqs-48i-1/20231001_longterm/v3.4.1", "numberOfFiles": 2, "volume": 39250392, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46262, "uuid": "c43f2ed77f914be0a9308d798b597da1", "short_code": "ob", "title": "NCAS Long Term Observations: CO concentration from the maqs-48i-1-CO deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "Carbon monoxide (CO) concentration measurements from the maqs-48i-1-CO deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: co-concentration\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] } ] }