Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=11300
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11400", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11200", "results": [ { "ob_id": 44725, "uuid": "ea21e4a5fc1b430c8b076f476a297a96", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/canada/edmonton/ecc-canada-vaisala-cl51_A", "numberOfFiles": 342, "volume": 829658561, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44726, "uuid": "982b5a7eadc74671993b233b13779111", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ECCC's vaisala-cl51 instrument deployed at Edmonton, Canada", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Environment and Climate Change Canada (ECCC)'s vaisala-cl51 deployed at Edmonton, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44730, "uuid": "d4206af4bff34a5eac47090b7bd9f1c0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/cyprus/cao-nicosia/cao-amx-vaisala-cl51_A", "numberOfFiles": 877, "volume": 2237216256, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44731, "uuid": "c96728d0b80849879f34687416eff33d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from The Cyprus Institute's vaisala-cl51 instrument deployed at Cao-Nicosia, Cyprus", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from The Cyprus Institute's vaisala-cl51 deployed at Cao-Nicosia, Cyprus.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-196-0-CYPN.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool." }, "onlineresource_set": [] }, { "ob_id": 44734, "uuid": "e6a1343b96c94d22bdb1681953697493", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/czech-republic/brno/chmi-vaisala-cl51_A", "numberOfFiles": 985, "volume": 2572080981, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44735, "uuid": "4615b4cbc4de4e849fdfd1d1fdf28db4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Brno, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Brno, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11723.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44738, "uuid": "a850bc9f554f47b1b2c5626fc75ce9fe", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/czech-republic/karlovy-vary/chmi-vaisala-cl51_A", "numberOfFiles": 1054, "volume": 2737802631, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44739, "uuid": "495117fe62714bf68106e18e0666e210", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Karlovy Vary, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Karlovy Vary, Czech Republic.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11414.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44741, "uuid": "4007dd7f507a43b89ae336dd9d6e7276", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/czech-republic/mosnov/chmi-vaisala-cl51_A", "numberOfFiles": 1051, "volume": 2731660614, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44742, "uuid": "98d2e086f63b46fbb3997597ea11f8c8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Mosnov, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Mosnov, Czech Republic.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11782.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44745, "uuid": "0180904f05dd443d9fd13a12ea2680f2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/czech-republic/praha/chmi-vaisala-cl51_A", "numberOfFiles": 1052, "volume": 2728025876, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44746, "uuid": "fb0e0b8dea2147519a71f4949d2713b6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Praha, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Praha, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11518.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44748, "uuid": "cfe7658b1d844ad585814c22c0c4e710", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/germany/koln-zulpicher-wall/cologne-university-vaisala-cl51_A", "numberOfFiles": 584, "volume": 1506755857, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44749, "uuid": "a405884af228499f96d6b00f843e84b4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 instrument deployed at Koln Zulpicher Wall, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 deployed at Koln Zulpicher Wall, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-13-19987.\n" }, "onlineresource_set": [] }, { "ob_id": 44756, "uuid": "76e5d123419443c786c54d08834f9c93", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/unw250903/", "numberOfFiles": 0, "volume": 0, "fileFormat": null, "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44757, "uuid": "b5e3c36c3d6941f8b5731f5111a18511", "short_code": "ob", "title": "Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) flume data from laboratory experiments in February and March 2023", "abstract": "This dataset consists of processed Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) data of a sandy flume bed. The experiments were undertaken in the HR Wallingford laboratory in February and March 2023. Experiments were designed to investigate the generation of sandy bedforms in the wakes of offshore wind turbines, and the variation of bed shear stress due to both the bedforms and the monopiles. Two monopile sizes were used (0.25 m and 0.65 m) with a 1:20 scaling to field scale. Cleaned quarry sand was used to make the sand bed (0.2 m deep), of median diameter 0.245 mm, and 90th percentile 0.290 mm. Rock armour was created and placed around the monopiles to create realistic designs, this consisted of 10 mm grains of high-density rock (3000 kg/m3). Rock armour geometry can be found in the TLS scans. Data were collected by Bangor University, HR Wallingford and the National Oceanography Centre under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1." }, "onlineresource_set": [] }, { "ob_id": 44768, "uuid": "02ca305a1f8443aa9457e632c479da2e", "short_code": "result", "curationCategory": "", "dataPath": "/ngdc/MC2_Mantle_Circulation_Sims/", "numberOfFiles": 51710, "volume": 7811338635657, "fileFormat": "NetCDF and Paraview", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44349, "uuid": "6b029e226c534b359e416d30dbdab5a1", "short_code": "ob", "title": "Mantle Circulation Constrained (MC2) - Mantle Circulation Simulations", "abstract": "This dataset constains for models produced for the NERC Large Grant - Mantle Circulation Constrained (MC2; NERC grant award NE/T012633/1). Each model is produced using the 3D mantle circulation code, TERRA and deployed on the ARCHER2 UK National Supercomputing Service. Each folder represents a model which comprises output files (NetCDF and ParaView) between 1000-100 Ma (in 100 Myr intervals), 90-10 Ma (in 10 Myr intervals) and 1-0 Ma (in 1 Myr intervals). Additionally we provide the run files for each model, at various restart times which include a parameter file and a compiled executable. Additional output files are described in the README files." }, "onlineresource_set": [] }, { "ob_id": 44770, "uuid": "7a58e7b3bf754e0faed6d4a23c3fb255", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2025/ML-HAPPG/", "numberOfFiles": 26397, "volume": 383201486318, "fileFormat": "NetCDF, txt, json", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44622, "uuid": "7f91b1326a324caa9e436b8fdef4a0d8", "short_code": "ob", "title": "Machine Learning for Hourly Air Pollution Prediction – Global (ML-HAPPG)", "abstract": "This dataset contains estimates of air pollution levels across the globe for every hour of the year 2022. It covers five major air pollutants that can affect human health and the environment. The data cover major air pollutants, including Nitrogen Dioxide (NO2), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each air pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios. The spatial coverage of the dataset includes the entire globe, structured as an evenly spaced grid, with each grid square covering an area of 0.25 degrees (0.25 degrees x 0.25 degrees). Data points correspond to the centre of these grid squares. There is also training data used for the model from real-world monitoring stations." }, "onlineresource_set": [] }, { "ob_id": 44773, "uuid": "2c96e1c1880a440abf70e7454a2e37ad", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370", "numberOfFiles": 43290, "volume": 2448365879222, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44771, "uuid": "ace4b6a343ba49fe926492991848f960", "short_code": "ob", "title": "SSP370 data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44775, "uuid": "b43de544409f4fb683525a271605bca4", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-126aer", "numberOfFiles": 42920, "volume": 2424366628080, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44774, "uuid": "4026a110e3ba4f9aa893c05f9e907868", "short_code": "ob", "title": "SSP370-126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from 2015 to 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44777, "uuid": "b656532726054a4f8be7852e58c4f7f0", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-nae126aer", "numberOfFiles": 42921, "volume": 2424472096731, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44776, "uuid": "da1b3a4b433a465095967d0b66394194", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from 2015 to 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44778, "uuid": "f82f32bb5c724ea0ab51ca1adf106a61", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-eas126aer", "numberOfFiles": 42920, "volume": 2420624844926, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44781, "uuid": "7e82d4aa2de44787802daa04979f5b5a", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44779, "uuid": "a13a144a6b834730b068f33bb28f2065", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-sas126aer", "numberOfFiles": 42917, "volume": 2420527134582, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44783, "uuid": "9a3e0018214c44d7ae154e5cb6025707", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44780, "uuid": "a6cac0659c5f43afa9d2b8a6fefd835e", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/ssp370-afr126aer", "numberOfFiles": 42882, "volume": 2423621036863, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44782, "uuid": "5a98f085efe44f469bc13e6dce24c1ac", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from 2015 to 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers." }, "onlineresource_set": [] }, { "ob_id": 44785, "uuid": "75452c56e8444862903aa840c1ce1ff9", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v05.0/Antarctica/", "numberOfFiles": 28, "volume": 12875669, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44600, "uuid": "25447c253cbe435b937347756fe47146", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for Antarctica, v5.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year\r\ne.g. ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44786, "uuid": "c0daa564d96343bc8e6c6573208ba0ba", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v05.0/northern_hemisphere/", "numberOfFiles": 28, "volume": 9775333633, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44596, "uuid": "5675b0be944f45a8af0e7ddbeb47a011", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CRDP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m, 10m).\r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44787, "uuid": "01f8a4a79f6641c8b8eb0bd81ac8aba7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v05.0/Antarctica", "numberOfFiles": 28, "volume": 24581896, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44599, "uuid": "9580c512bb474d00b1e0ee554e219bb7", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for Antarctica, v5.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44788, "uuid": "5e2c447191d54653ba57e300fb12cac6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v05.0/northern_hemisphere/", "numberOfFiles": 28, "volume": 843454645, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44598, "uuid": "a6fbedd8ee5b472c8e84e55f746c1704", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44789, "uuid": "ea39f243803d4e2295769ba0178e38b8", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v05.0/northern_hemisphere/", "numberOfFiles": 27, "volume": 9775332725, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 44790, "uuid": "aba61e9c2b5447e88b33df4074a69ccf", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v05.0/northern_hemisphere/", "numberOfFiles": 28, "volume": 332969849, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44597, "uuid": "d235665772ec4b558e9a89ac85595e71", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\ne.g. ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44806, "uuid": "e1c8264477f74ea9a49b8033bfd6bbc0", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/nceo_biomass_maps/data/manaus/v1.0/2014", "numberOfFiles": 7, "volume": 13925, "fileFormat": "dbf, sbx, shp, shx, prj", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32597, "uuid": "c7aa24fb8d5c458daefdf0f4410ba830", "short_code": "ob", "title": "NCEO Manaus plots AGB map 2014 v1.0", "abstract": "The NCEO Manaus plots Above Ground Biomass (AGB) map 2014 v1.0 shows above ground woody biomass in plot sites around the city of Manaus in the state of Amazonas, Brazil. The data supports characterization of carbon stocks and dynamics at the national level, which is critical for countries engaging in climate change mitigation and adaptation strategies. \r\n\r\nThe data consists of AGB for 22 plot sites in the dbf data file. The file is accompanied by shape and metadata files (sbx, shp, shx and prj files) containing plot location information enabling display in GIS applications such as QGIS." }, "onlineresource_set": [] }, { "ob_id": 44807, "uuid": "a7bee89736db4daf95e049e0e229b966", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/01min-averages", "numberOfFiles": 7525, "volume": 9629320039, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43601, "uuid": "fe75afd7723140c19edfdeb75fed1e48", "short_code": "ob", "title": "Met Office Cardington: 1 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 1 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\n\r\nA full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, "onlineresource_set": [] }, { "ob_id": 44808, "uuid": "8b64143a3d834ff09e19240f18bf0a15", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/05min-averages", "numberOfFiles": 7525, "volume": 8380222010, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43676, "uuid": "e75de035395f48dbbb43f1a190406632", "short_code": "ob", "title": "Met Office Cardington: 5 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 5 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, "onlineresource_set": [] }, { "ob_id": 44809, "uuid": "3e9dd71c1149415eaa0d606663e4711c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/10min-averages", "numberOfFiles": 7525, "volume": 7734662427, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43677, "uuid": "27dfc610944446a6a7862c97f93325a6", "short_code": "ob", "title": "Met Office Cardington: 10 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 10-minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 10 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 10 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, "onlineresource_set": [] }, { "ob_id": 44810, "uuid": "33255e6627a44610987f83c56f4449a0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-cardington/data/complete-collection/surface-met/30min-averages/", "numberOfFiles": 7525, "volume": 7271489091, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43678, "uuid": "1f92b91149704c4bb5048300615a1945", "short_code": "ob", "title": "Met Office Cardington: 30 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 30 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 30 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 30 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, "onlineresource_set": [] }, { "ob_id": 44818, "uuid": "f745d98d469f4630954915b5fbdce7cb", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/comet/publications_data/Wright_etal_2025_Tibet/v1.0", "numberOfFiles": 7590, "volume": 44692558075, "fileFormat": "These data are provided in GeoTiff format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44817, "uuid": "6181ff81c7dc4ab2a492c8f53f58df52", "short_code": "ob", "title": "Deformation, Strains, and Velocities for the Tibetan Plateau from Sentinel-1 InSAR, GNSS, and Levelling Data, version 1", "abstract": "This dataset provides velocity and strain rate fields for the Tibetan Plateau derived from Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite System (GNSS), and levelling data. Interferograms in GeoTIFF format at ~100 m resolution are available from the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics - Looking Inside the Continents from Space InSAR (COMET-LiCSAR) portal (https://comet.nerc.ac.uk/comet-lics-portal/) Using the Looking Inside the Continents from Space with Small Baseline Subset (LiCSBAS) approach, line-of-sight displacement time series and average velocities at ~1 km resolution are inverted, applying corrections for troposphere, ionosphere, Earth tides, and plate motions. Also compiling GNSS velocities and levelling observations from published studies. Following the velmap methodology, a unified coarse 3D velocity field is obtained that fits the GNSS, levelling, and InSAR data. From this, mosaics of ascending and descending line-of-sight velocities in a Eurasia reference frame. Inverting pixel-by-pixel for the east-west and vertical velocities directly from the referenced line-of-sight velocities, using the north–south velocities from the coarse 3D velocity model as a constraint. Strain and rotation rates are calculated from the horizontal gradients of the median-filtered east-west velocities at InSAR resolution and the north-south velocities from the coarse velocity model. Further details are provided in Wright et al. (2025, Science).\r\n\r\nThe directory overview for this dataset are given below:\r\nENU_vels/\r\nEast-west, north-south, and vertical velocity fields, along with their associated uncertainties.\r\n \r\ngeoreferenced_los_vels/\r\nLine-of-sight (LOS) velocities in a Eurasia-fixed reference frame defined by GNSS\r\n \r\nGNSS_levelling_data/\r\nCompiled GNSS velocities and levelling rates from published studies.\r\n \r\nLiCSBAS_los_vels/\r\nOriginal LOS velocities and displacement time series derived from LiCSBAS processing.\r\n \r\nstrain_rates/\r\nComponents of the horizontal velocity gradient tensor, second invariant, maximum shear, dilatation, and vorticity.\r\n \r\nvelmap_strain_rates/\r\nStrain rates calculated from velmap.\r\n\r\nvelmap_vels/\r\nCoarse 3D velocity model derived from velmap." }, "onlineresource_set": [] }, { "ob_id": 44831, "uuid": "0ae85b80143346ba8d1bff44c446f9ef", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/snow/data/scfg/AVHRR_SINGLE/v4.0", "numberOfFiles": 37064, "volume": 569223567835, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43386, "uuid": "80d96e3a14854420b6f742d70877c431", "short_code": "ob", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1979 - 2023), version 4.0", "abstract": "This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. \r\n\r\nThe global SCFG product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFG time series provides daily products for the period 1979-2023.\r\n \r\nThe product V4.0 is based on EUMETSAT Fundamental Data Record (FDR) medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. \r\n\r\nThe retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied using dynamic reference reflectance values (snow, forest, ground) temporally and spatially adapted to consider angle dependencies (sun, view). Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground. RMSE is retrieved from a statistical model and added as pixel-wise information. \r\n\r\nThe SCFG product is aimed to serve the needs of users working in cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern, in cooperation with Gamma Remote Sensing is responsible for the SCFG product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation.\r\n\r\nThe SCFG AVHRR product comprises a few data gaps in 1979 – 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March – 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years." }, "onlineresource_set": [] }, { "ob_id": 44832, "uuid": "f481921d6ecd436cb4dad77f5d9acc60", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/snow/data/scfv/AVHRR_SINGLE/v4.0", "numberOfFiles": 37064, "volume": 572377314010, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43385, "uuid": "3c71c04cf08a410fac2c680cbf88cfd7", "short_code": "ob", "title": "ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable (SCFV) from AVHRR (1979 - 2023), version 4.0", "abstract": "This dataset contains Daily Snow Cover Fraction of viewable snow from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. \r\n\r\nSnow cover fraction viewable (SCFV) indicates the area of snow viewable from space over land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel. \r\n\r\nThe global SCFV product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.\r\n\r\nThe SCFV time series provides daily products for the period 1979-2023. \r\n\r\nThe product V4.0 is based on EUMETSAT Fundamental Data Record (FDR) medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. \r\n\r\nThe retrieval method of the snow_cci SCFV product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre- and post-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. \r\n\r\nThe following auxiliary data set is used for product generation: ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. RMSE is retrieved from a statistical model and added as pixel-wise information.\r\n\r\nThe SCFV product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology and biology.\r\n\r\nThe Remote Sensing Research Group of the University of Bern, in cooperation with Gamma Remote Sensing is responsible for the SCFV product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation. \r\n\r\nThe SCFV AVHRR product comprises a few data gaps in 1979 – 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March – 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years." }, "onlineresource_set": [] }, { "ob_id": 44833, "uuid": "897b462011474b37a484bf1616f57872", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/snow/data/swe/MERGED/v4.0/", "numberOfFiles": 9576, "volume": 14570784856, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43384, "uuid": "edf8abd23f4a40aabd4d52e48dec06ea", "short_code": "ob", "title": "ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 - 2023), version 4.0", "abstract": "This dataset contains v4.0 of the Daily Snow Water Equivalent (SWE) product from the ESA Climate Change Initiative (CCI) Snow project, at 0.1 degree resolution.\r\n\r\nSnow water equivalent (SWE) is the depth of liquid water that would result if the of snow cover melted completely, which equates to the snow cover mass per unit area. The SWE product covers the Northern Hemisphere from 1979/01 to 2023/12 with complex terrain, land ice, and large lakes masked. The dataset covers the Northern Hemisphere winter season (October – May; occasional data produced during June and September) at a daily frequency starting in October 1987 and every second day from 1979 to May 1987. Retrievals are not produced for coastal regions of Greenland.\r\n\r\nThe product combines passive microwave data with ground-based snow depth measurements, via Bayesian non-linear iterative assimilation, to estimate SWE. It is based on data from the recalibrated enhanced resolution CETB ESDR dataset (MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) https://nsidc.org/pmesdr/data/) resampled to the 12.5km EASE-Grid 2.0.\r\n\r\nA background snow-depth field, derived from re-gridded snow-depth observations made at synoptic weather stations, and a passive microwave emission model are the key components of the retrieval scheme. Snow density, which varies in both time and space, is parameterized from interpolated in situ observations from snow courses and snow pillows equipped with co-located snow depth sensors.\r\nThe dataset is aimed to serve the needs of users working on climate research and monitoring activities, including the detection of variability and trends, climate modelling, and aspects of hydrology and meteorology.\r\n\r\nThe Finnish Meteorological Institute (FMI) is responsible for the SWE product generation. The SWE development is carried out in collaboration by FMI and Environment and Climate Change Canada (ECCC).\r\n\r\nChanges from v3.1 \r\n\r\nThe time series has been extended from version 3.1 by one year, to 2023. The retrieval algorithm has been modified to prioritize morning overpass (descending) data over evening (ascending) data. This change affects the SWE retrieval for all years except 1988–1991. Data from those years is from the F08 satellite, which has a reversed orbit, and evening (descending) data is prioritized, as in earlier versions of the SWE retrieval. Snow masking in post-production now uses CryoClim SCE data for 35–40° latitude and −30–3° longitude. Elsewhere, the baseline snow mask and CryoClim are combined so that any pixel flagged by either is marked snow-covered, as in v3.1. The pixel-wise uncertainty model has been updated for North America using extensive snow course data." }, "onlineresource_set": [] }, { "ob_id": 44843, "uuid": "05f6db1e476841a9a7e8c1130c0f5da1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v05.0/Antarctica", "numberOfFiles": 28, "volume": 187459526, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44601, "uuid": "88380c00ad79414ab1a30d3cd4cb7ad9", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for Antarctica, v5.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CRDP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m, 10m).\r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" }, "onlineresource_set": [] }, { "ob_id": 44849, "uuid": "df936281872743ebabda66890585ee53", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2025/COSHAIR_UKIAM_Maps/COSHAIR_UKIAM_Maps", "numberOfFiles": 53, "volume": 197694809, "fileFormat": "ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43993, "uuid": "1c393ac015a34388be31c053d43c26dd", "short_code": "ob", "title": "COSHAIR: UK Integrated Assessment Model (UKIAM) Maps of PM2.5 and NO2 Concentrations", "abstract": "The Community Scenarios Of Hydrogen Energy And Impacts On Air Pollution (COSHAIR) examines a range of scenarios from 01/01/2020 to 01/01/2050 with different levels of hydrogen take-up, in different sectors, to understand the consequences for air pollution. The scenarios investigate the potential implications of hydrogen production and use in the energy system on UK air pollution. These scenarios were produced using the UK TIMES energy system model at University College London. This represents all substantive UK energy flows and greenhouse gas emissions. \r\nThe UK Integrated Assessment Model (UKIAM) at Imperial College was used to examine the changes in air quality that might occur in the future due to adopting hydrogen in the scenarios. \r\nData contains the ASCII files, compatible with QGIS, for the spatially apportioned UK concentrations of PM2.5 (particulate matter with a diameter of 2.5 micrometres or less) and NO2 (Nitrogen Dioxide) using the UKIAM framework. \r\nThe supporting information provides full descriptions of the scenario names:\r\n\r\nNDB - No Decarbonisation Baseline (no hydrogen, non-net zero)\r\nNZC - Net Zero Counterfactual (net zero, no hydrogen)\r\nLS - Likely Scenario (net zero, limited hydrogen)\r\nLPS - Likely and Possible Scenario (net zero, higher hydrogen)\r\nUS - Unlikely Scenario (net zero, highest hydrogen)" }, "onlineresource_set": [] }, { "ob_id": 44865, "uuid": "da43931467764ea0949851ffcb883629", "short_code": "result", "curationCategory": "", "dataPath": "/bodc/gebco/ibcao/ibcao_v4", "numberOfFiles": 92, "volume": 43217363995, "fileFormat": ".nc, .tiff, .tif, .zip, .pdf, .txt, .ris", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 43501, "uuid": "ec1c8283e5e1412a81b341a94033382f", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The grid has been compiled from sounding data covering an area of approximately 19.8% of the Arctic Ocean floor, of which 14.3% is comprised of multibeam bathymetry and about 5.5% with other sources, excluding digitized depth contours. IBCAO Version 4.0 has been compiled with support from the Nippon Foundation-GEBCO-Seabed 2030 Project, an international effort whose goal it is to see the entire world ocean mapped by 2030. A geographic version of the Polar Stereographic grid serves as input to the General Bathymetric Chart of Oceans (GEBCO) global gridded terrain model." }, "onlineresource_set": [] }, { "ob_id": 44866, "uuid": "755c11cc73e6460a8ecc9779f8c868d4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2025/PeninMalay_HadGEM3_GC31_HM", "numberOfFiles": 73, "volume": 336382186653, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44867, "uuid": "527ba062f6114669927bf93ccbd8631b", "short_code": "ob", "title": "HighResMIP model simulations for high-resolution hydrological simulations over Peninsular Malaysia: using HadGEM3-GC3.1-HM for the IMPRESS-Malaysia project.", "abstract": "This dataset contains HighResMIP model simulations using the HadGEM3-GC3.1-HM model, interpolated to 612*672 grids at resolution of 0.008333333333° over Malaysia for inputs of high-resolution hydrological simulations for the period 1980-2050 (present-day: 1980-2014, future high-end SSPs scenario: 2015-2050).\r\n\r\nThese data were produced for the IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia) project. NE/S002707/1" }, "onlineresource_set": [] }, { "ob_id": 44872, "uuid": "4260ee3e06da4f34908bc89e0ba6d65b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/auchencorth/data/auchencorth_moss_met/v2/", "numberOfFiles": 31, "volume": 84792484, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44871, "uuid": "4fcad04a4a224601875df64ceef48e26", "short_code": "ob", "title": "Auchencorth Moss Atmospheric Observatory (AU): Annual half-hourly meteorology since 1995, Near Edinburgh, UK - Version 2", "abstract": "This version 2 dataset includes annual files of half-hourly meteorological observations made at Auchencorth Moss Atmospheric Observatory, near Edinburgh, UK. \r\n\r\nThe site was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep per hectare.\r\nDuring 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements but since 2014 we have been moving towards these standards as well as enhancing instrumentation.\r\nFrom 1995 to 2023 the dataset includes the following parameters at half hourly intervals, although not every variable is available for the whole period:\r\n-T_upper_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_lower_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_RHT_Avg - Temperature measured by a Vailsala relative humidity and temperature probe.\r\n-RH_RHT_Avg - Relative humidity measured by a Vailsala relative humidity and temperature probe.\r\n-P_Avg - atmospheric pressure at the sites elevation.\r\n-Tot_Solar_Avg - Total solar radiation measured by a Skye SKS1110.\r\n-PAR_Avg - Photosynthetically Averaged Radiation measured by a Skye SKP215.\r\n-NetRad_Avg - Net radiation, Kipp & Zonen NrLite.\r\n-Rainfall - tipping bucket rainfall.\r\n-SoilTavg - Average soil temperature from four type-E thermocouple probes.\r\n-Soil Heat Flux - calculated from two measurements of soil heat flux with Hukseflux HFP01 plates, corrected to surface flux using the standard formula.\r\n-Cs = Bd(Cd+fSWC.Cw)\r\n-SC = DTs.Cs.d/Dtime\r\n-SHF = Plate Average + SC\r\n-DTs = change in average soil temperature from start to end of measurement period (first and last two minutes); d = plate depth 0.2 m; Bd = soil bulk density, 100 kg m-3; cd = Specific Heat Dry Soil, 840J kg-1 K-1; fSWC = fractional soil water content, measured or 0.9; cw = Specific Capacilty Heat of Water, 4190 J kg-1 K-1; Dtime = measurement period, 1800 s\r\n-Soil Moisture - soil water content measured with TDR probes, campbell CS616\r\n-WindSpd (measured) - measured by a Gill R3 then Windmaster sonic anemometer at 3.6 m\r\n-WindSpd 10 m - for most of the time period this is estimated from the turbulence measurements and 3.6 m windspeed but from 22/06/2016 a Gill Windsonic 2D anemeometer measures at 10 m\r\n-Wind Dir - measured by the sonic anemometer at 3.6 m\r\n-snow_depth_Avg - Campbell Scientific SR50A-L Sonic Ranging Sensor\r\n-Present Weather - Vaisala FD12P Present Weather Sensor\r\n-1 hr Past Weather - Vaisala FD12P Present Weather Sensor\r\n-Visibility - Vaisala FD12P Present Weather Sensor\r\n-Evaporation - to be estimated from the water-vapour flux measurements\r\n\r\nIn September 2025 the 1995-2023 data were revised to correct some errors in the original submission. These revised data are labelled version 2 and supercede the previous data.\r\n The key changes are:\r\n-\tSimplified data set with no fully gap-filled time series or modelled evaporation\r\n-\tSoil heat flux changed to measured average without storage correction (this is very uncertain on peat and caused spurious noise in the data)\r\n-\tWater table depth now reported in m, below the surface to match ICOS standards. Positive values indicate depth below the surface while negative values are above the surface\r\n\r\nIn November 2021 the site was officially labelled as an ICOS ecosystem station (https://meta.icos-cp.eu/resources/stations/ES_UK-AMo) as part of this process the meteorological instruments and their data processing system were modified to comply with ICOS requirements. From 2024 the data submitted to CEDA is modified to align with this system. For continuity data from the same sensors are submitted but there are some modifications:\r\n\r\n•\tAir Temperature average (TA_4_1_1, oC); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tRelative Humidity average (RH_4_1_1, %); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tPressure average (PA_4_1_1, kPa); barometric pressure at the site's altitude from Vaisala PTB110\r\n•\tTotal incident solar radiation average (RG_4_1_0, Wm-2); Skye SKS1110 thermopile pyranometer\r\n•\tPhotosynthetically Active Radiation average (PPFD_IN_4_1_1, umolm-2s-1); Skye SKP215 thermopile sensor\r\n•\tNet radiation (RN_5_1_1, Wm-2); Kipp & Zonen NRLite2, compact sensor gives single output\r\n•\tRainfall (P_13_1_1, mm); ARG314 Tipping bucket measurement\r\n•\tSoil temperature average, (TS, oC), Campbell Scientific Type-E thermocouple averaging probes or average of readings from Campbell Scientific CS616 soil moisture sensors\r\n•\tSoil Heat Flux (G, Wm-2), average of flux monitoring plates at several locations, Hukseflux HFP01-SC\r\n•\tSoil water content (same as soil moisture) (SWC, %); average of TDR probes, Campbell CS616 at several locations\r\n•\tWind speed 10 m (WS_6_1_1, ms-1); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tWind direction (WD_6_1_1, oN); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tSnow depth (D_SNOW, m) sonic snow depth sensor, Campbell Scientifc SR50AH\r\n•\twater table depth, (WTD, m); Druck PCR 1830, distance to water table from the average surface level (negative above the surface)\r\n•\tPresent_Weather (WMO4680 Code – Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\t1 hour Past Weather (1_hr_Past_Weather, WMO4680 Code) - Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\tVisibility (Visibility, m) Optical measurement from Biral VPF50 gapfilled with Vaisala FD12P PWS scaled so to match the maximum from the Biral sensor" }, "onlineresource_set": [] }, { "ob_id": 44873, "uuid": "4a547ecfdb204ef4bc3932d5b8c66c9f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/land_cover/data/pft/v2.0.81/", "numberOfFiles": 30, "volume": 51406699339, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44300, "uuid": "313854aedcb04a5eb56f711401a87396", "short_code": "ob", "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Plant Functional Types (PFT) Dataset, v2.0.81", "abstract": "This dataset contains Global Plant Functional Types (PFT) data, from the ESA Medium Resolution Land Cover (MRLC) Climate Change Initiative project. The data provides yearly data, and initially covers the time period from 1992 to 2020. It is anticipated that the dataset will be updated annually going forward.\r\n\r\nThis version of the data is v2.0.81, which corrects an issue found with a file in v2.0.8.\r\n\r\nThe PFT v2.0.81 global dataset has 14 layers, each describing the percentage cover (0-100%) of a plant functional type at a spatial resolution of 300 m: broadleaved evergreen trees, broadleaved deciduous trees, needleleaved evergreen trees, needleleaved deciduous trees, broadleaved evergreen shrubs, broadleaved deciduous shrubs, needleleaved evergreen shrubs, needleleaved deciduous shrubs, natural grasses, herbaceous cropland (i.e., managed grasses), built, water, bare areas, and snow and ice.\r\n\r\n\"Plant Functional Types” (PFTs) refer to globally representative and similarly behaving plant types. PFTs can be related to physiognomy and phenology, climate (which defines the geographical ranges in which a plant type can grow and reproduce under natural conditions, and physiological activity (e.g., C3/C4 photosynthetic pathways).\r\n\r\nAll terrestrial zones of the Earth between the parallels 90°N and 90°S are covered. The PFT dataset has a regular latitude-longitude grid with a grid spacing of 0.002777777777778°, corresponding to ~300 m at the equator and ~200 m in the midlatitudes. The Coordinate Reference System used for the global land cover database is a geographic coordinate system (GCS) based on the World Geodetic System 84 (WGS84) reference ellipsoid.\r\n\r\nThe plant functional type (PFT) distribution was created by combining auxiliary data products with the CCI MRLC map series. The LC classification provides the broad characteristics of the 300 m pixel, including the expected vegetation form(s) (tree, shrub, grass) and/or abiotic land type(s) (water, bare area, snow and ice, built-up) in the pixel. For some classes, the class legend specifies an expected range for the fractional covers of the contributing PFTs and broadly differentiates between natural and cultivated vegetation. We used a quantitative, globally consistent method that fuses the 300-metre MRLC product with a suite of existing high-resolution datasets to develop spatially explicit annual maps of PFT fractional composition at 300 metres. The new PFT product exhibits intraclass spatial variability in PFT fractional cover at the 300-metre pixel level and is complementary to the MRLC maps since the derived PFT fractions maintain consistency with the original LC class legend. \r\n\r\nThis dataset was generated to reduce the cross-walking component of uncertainty by adding spatial variability to the PFT composition within a LC class. This work moved beyond fine-tuning the cross-walking approach for specific LC classes or regions and, instead, separately quantifies the PFT fractional composition for each 300 m pixel globally. The result is a dataset representing the cover fractions of 14 PFTs at 300 m for each year within the time range, consistent with the CCI MRLC LC maps for the corresponding year.\r\n\r\nThis study was carried out with the continued support of the European Space Agency Climate Change Initiative under the contract ESA/No.4000126564 Land_Cover_cci." }, "onlineresource_set": [] }, { "ob_id": 44878, "uuid": "3790b22bee214a02b7353b933b9df8e0", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/forestscan/data/gabon/lope/ForestScan_Lope_UAV_LS_new", "numberOfFiles": 152, "volume": 16439599314, "fileFormat": ".laz files, the LAZ (LASzip) file format is a compressed version of the LAS (LIDAR Aerial Survey)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44877, "uuid": "a79fcb9ab0c443fc86d453cc064759b1", "short_code": "ob", "title": "ForestScan project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022, Version 2.0", "abstract": "This dataset contains point cloud data (a set of data points in a 3D coordinate system) which were collected using a RIEGL miniVUX1-DL LiDAR scanner mounted on a DELAIR DT26X Unpiloted Aerial Vehicle (UAV). The data was collected in June 2022 as part of the ForestScan project. The person responsible for the data collection was Dr. Iain McNicol from the University of Edinburgh, who collected and processed the data." }, "onlineresource_set": [] }, { "ob_id": 44879, "uuid": "b8942ac3150e4e6b92f5b1069bfad93b", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/soc250968", "numberOfFiles": 5210, "volume": 6256286774682, "fileFormat": "netCDF files and readme text file", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44881, "uuid": "5fc1654297a04b4e81819fa13c19c718", "short_code": "ob", "title": "Model output containing ocean and sea ice variables from GO6 eORCA025 (1948-2009)", "abstract": "This dataset contains monthly means of ocean and sea ice variables from a 61 year (1948-2009) integration of the GO6 model configuration at 1/4° horizontal resolution. The ocean output fields on T, U, V, and W grids and the sea ice fields are provided in separate files. The ocean component is on a 1/4° grid (eORCA025) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009) for five cycles of the forcing: the present dataset only contains the final cycle. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under grant reference NE/N018036/1." }, "onlineresource_set": [] }, { "ob_id": 44882, "uuid": "14c21948e2734f14b110795e8772232d", "short_code": "result", "curationCategory": "", "dataPath": "/bodc/soc250967/", "numberOfFiles": 5210, "volume": 474444492380, "fileFormat": "NetCDF files and readme text file", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44880, "uuid": "9de6ce8cbda54fb3b5864c82b9851fba", "short_code": "ob", "title": "Model output containing ocean and sea ice variables from GO6 eORCA1 (1948-2009)", "abstract": "This dataset contains monthly means of ocean and sea ice variables from a 61-year (1948-2009) integration of the GO6 model configuration at 1° horizontal resolution. The ocean output fields on T, U, V, and W grids and the sea ice fields are provided in separate files. The ocean component is on a 1° grid (eORCA1) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009) for five cycles of the forcing: the present dataset only contains the final cycle. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under reference NE/N018036/1." }, "onlineresource_set": [] }, { "ob_id": 44884, "uuid": "13e7fa42988441db977fd86246c8578c", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/gebco/ibcao/ibcao_v5.1", "numberOfFiles": 69, "volume": 171432894476, "fileFormat": ".tiff; .zip; .pdf; .txt", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44883, "uuid": "f913ac73da154aebb5b6cf61fb9eb5e2", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 5.1 Grid was released in June 2025, updated from IBCAO Version 5.\r\n\r\nThe bathymetric grid released in IBCAO Version 5.1 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5.1 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5.1 grid without Greenland ice sheet data is also available. IBCAO Version 5.1 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, "onlineresource_set": [] }, { "ob_id": 44889, "uuid": "0893744db30f49e38da58220b64b8d84", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/soc250982", "numberOfFiles": 0, "volume": 0, "fileFormat": null, "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44890, "uuid": "5edb22d9f7d04b0a89595a9e760b6656", "short_code": "ob", "title": "Multiscale benthic images collected by Autonomous Underwater Vehicle during expedition JC257 in the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024.", "abstract": "A collection of 52,771 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4130 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M094, the AUV was programmed to replicate parallel 1-to-2 km long transect lines in four sites spaced by an array of scales, located 0, 15, 30, 100 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. These images were colour-corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The image set includes images collected above 1.6 m and below 3 m altitude, which was corrected for the lever-arm corrected AUV pitch. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1)." }, "onlineresource_set": [] }, { "ob_id": 44903, "uuid": "04b77881c9e74a00b190bb6f3c384add", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-4-3-2025f/", "numberOfFiles": 10419, "volume": 59655470271, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44902, "uuid": "f60cd72eae8b409fbfe4aa84aa04e97b", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2025, v3.4.3.2025f", "abstract": "This is the final version, v3.4.3.2025f, of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data. The parent dataset of HadISD, the Integrated Surface Database at NOAA, stopped being updated on 29th August 2025. Therefore there will be no further updates to this dataset, and the final year will remain incomplete, going up to 29th August 2025 only\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20250829_v3-4-3-2025f. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "onlineresource_set": [] }, { "ob_id": 44905, "uuid": "7b6df6480a814dc4bf198a8d4bf2a8a6", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/copernicus_land_cover/data/2020/v1/", "numberOfFiles": 5279, "volume": 144873708959, "fileFormat": "These data are in Cloud Optimised GeoTiff (COG) format with a corresponding quicklook image.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44904, "uuid": "c193345436994160befa8bb32e46c39f", "short_code": "ob", "title": "Copernicus Land Monitoring Service Land Cover 2020, version 1", "abstract": "Provides at the global level information on different types (classes) of physical coverage of the Earth's surface, e.g. tree cover, grasslands, croplands, permanent water bodies, wetlands at 10 m spatial resolution for the 2020 base year. The data are updated annually and will be available for the 2020-2026 years. This dataset builds upon initiatives like the 100 m Copernicus Global Land Cover layers (2015-2019) and offers enhanced spatial detail that facilitates more effective monitoring of global land cover changes, including deforestation, urbanization, and other environmental transformations. Please note: this version is still in beta status, as final validation is ongoing.\r\n\r\nDOI for these data: https://doi.org/10.2909/602507b2-96c7-47bb-b79d-7ba25e97d0a9" }, "onlineresource_set": [] }, { "ob_id": 44915, "uuid": "21238a267acc4b049258391fbf6ef1b0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/c3s_cp/data/L3C/atsr2-aatsr/esa_cci/tcdr/r01", "numberOfFiles": 6535, "volume": 504556729032, "fileFormat": "The data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44811, "uuid": "2c107ff8ab5a432f89851db57e23bcbc", "short_code": "ob", "title": "Copernicus Climate Change Service: Brokered ESA Cloud CCI Cloud Properties L3 data from the ATSR series, version 3.1", "abstract": "This record comprises 17 years (1995-2012) of global cloud observations from the Along Track Scanning Radiometer (ATSR) series of instruments, flown on board the ESA Earth Observation satellites (ERS-2) and Envisat. The data is provided as monthly 0.5 x 0.5 degree, and daily 0.1x0.1 degree, longitude-latitude averages containing fractional cloud coverage (the percentage of each grid cell covered by cloud), cloud-top height, cloud optical depth, effective radius and liquid/ice water paths, along with uncertainties for each parameter.\r\n\r\nThis dataset is a re-gridded version of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci) produced to meet the requirements for distribution through the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)." }, "onlineresource_set": [] }, { "ob_id": 44916, "uuid": "a354d2dba7d34383ae4ae8e3cb9715f1", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2025/ukesm1-ch4_GMP", "numberOfFiles": 17, "volume": 5170610088, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44900, "uuid": "9e3310577b994d1ca525b3bb3b2aa19e", "short_code": "ob", "title": "UKESM1-CH4 output under current legislation and global methane pledge scenarios", "abstract": "This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model (Folberth et al. 2022, DOI:10.1029/2021MS002982). The simulation follows the experimental design of the SSP2-4.5 Shared Socioeconomic Pathway, except with methane emissions following the current legislation scenario from the ECLIPSEv6b inventory, and a global methane pledge scenario where emissions are reduced globally by 30%, with a heterogeneous reduction regionally. These simulation span 2016-2049 and use a coupled atmosphere-ocean climate model. The data comprise annual mean output over the experimental period for ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget. Mean daily 8h maximum ozone is also provided for 2049." }, "onlineresource_set": [] }, { "ob_id": 44918, "uuid": "106eec7d1bdf4af4b7c75200f1ec371e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glosat/data/GloSAT_UKESM_1_1-LL", "numberOfFiles": 267, "volume": 378747381366, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44888, "uuid": "1d2b498e981f4bcfb46c1f3c5923b122", "short_code": "ob", "title": "GloSAT model experiments : UKESM1-1-LL simulations covering the period 1750-2014 - variables and derived variables analysed in the paper Ballinger et al (2025)", "abstract": "The Global Surface Air Temperature (GloSAT) model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL UK Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\nThe simulations were run under the NERC funded project GloSAT. NE/S015647/2\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters, 650, accepted.\r\n\r\nThis data set contains the variables and derived variables analysed in the paper Ballinger et al (2025)\r\nThese variables are taken from the 3 new model experiments described in this publication, which are\r\n\r\n6 ensembles with all forcings 1750-2014, described as historical1750\r\n4 ensembles with anthropogenic only forcing, 1750-1910, described as historicalANT1750\r\n1 preindustrial control simulation run using 1750 constant forcing described as piControl1750\r\n\r\nThe 4 variables which have been archived here in netcdf format were those used in the publication:\r\ntas - surface air temperature\r\nthetao - ocean temperature\r\nAMOC - Atlantic meridional streamflow\r\nSurfaceTypes - vegetation types" }, "onlineresource_set": [] }, { "ob_id": 44924, "uuid": "003821b5011c4502acae1deb29650022", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2025/GLAMOUR", "numberOfFiles": 261, "volume": 1255955369, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44921, "uuid": "b687c4d9dd374aafb3034efe005c0ee5", "short_code": "ob", "title": "GLAMOUR: Global building morphology dataset for urban climate modelling (2020)", "abstract": "The GLobAl building MOrphology dataset for URban hydroclimate modelling (GLAMOUR) is derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009° across urbanized areas worldwide (approximately 100 m at the equator) across 13189 urban areas globally from 01/01/2020 to 31/12/2020. This dataset optimally leverages multi-task DL (MTDL) models, publicly accessible satellite images in conjunction with the Google Cloud ecosystem to enable efficient and accurate large-scale mapping. This building morphology dataset provides an unprecedented possibility for enabling various urban hydroclimate applications at a global scale, including human thermal comfort simulation, building energy modelling, 3D flood risk analysis among others. \r\n\r\nData are netCDF formatted and contain the following variables:\r\n - BH: building height (m)\r\n - BF: building footprint (m2 m-2)\r\n\r\nEach file is named following the convention: `GLAMOUR_{lon_start}_{lon_end}_{lat_start}_{lat_end}.nc`, where:\r\n - {lon_start} and {lon_end} are the longitude coordinates of the lower-left and upper-right corners of the grid, respectively.\r\n - {lat_start} and {lat_end} are the latitude coordinates of the lower-left and upper-right corners of the grid, respectively." }, "onlineresource_set": [] }, { "ob_id": 44929, "uuid": "93463f947c0e4c7b815489c03b6a22b2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2024/SWIMMR_ThermosphereC02SCaling", "numberOfFiles": 3, "volume": 2377541, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44928, "uuid": "488327e1ebe14c679ea62f6abfb7b662", "short_code": "ob", "title": "Future Thermospheric Density Scaling Factors for Satellite Drag Analysis (2000–2100)", "abstract": "This dataset, produced under the UK Space Weather Instrumentation, Measurement, Modelling and Risk (SWIMMR) programme, provides density scaling factors for the Earth's thermosphere from 2000 to 2100. By using Whole Atmosphere Community Climate Model with ionosphere and thermosphere extension (WACCM-X) model simulations, these factors allow researchers to adjust empirical atmospheric models to account for carbon dioxide (CO2) induced cooling. This is essential for accurately calculating future satellite drag and managing the long-term risks of orbital space debris. CO2 causes thermospheric contraction in the upper atmosphere, reducing neutral densities at fixed altitudes. However, this isn't modelled by current empirical models. The scaling factors included within this dataset are created with the WACCM-X, and allow empirical models (assuming they accurately represent the year 2000 or later) to account for CO2 induced density reductions. Scaling factors are global mean, annual mean neutral densities relative to the similar value in year 2000, under increasing CO2 concentrations and solar activity conditions (via the F10.7 proxy). Modelled values are interpolated in carbon dioxide concentration onto the future CO2 scenarios of the Representative Concentration Pathways (RCPs) and Shared Socioeconomic Pathways (SSPs) published by the Intergovernmental Panel on Climate Change (IPCC). F10.7 values are left as a dimension to allow the user to choose the future solar activity conditions." }, "onlineresource_set": [] }, { "ob_id": 44941, "uuid": "dd40468e84b043e1ae0afcd5c563b4d4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-1/EGRETT-Data", "numberOfFiles": 14223, "volume": 6026934901, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44926, "uuid": "f4b182204c2646cc94a44145f9f1d5a8", "short_code": "ob", "title": "ARA Grob Egrett T520 Aircraft measurements for the CWVC EMERALD-1 Campaign 2001.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Grob Egrett T520 Aircraft for the first CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-1) Campaign based in Adelaide, Australia, during September 2001.\r\n\r\nThe dataset contains aircraft position information plus Cloud Particle Imager and Forward Scattering Spectrometer Probe (CPI-FSSP)(University of Manchester Institute of Science and Technology -UMIST) to measure cloud microphysical properties, turbulence and temperature probes (Aberystwyth/ARA), Tropospheric Airborne Fourier Transform Spectrometer (TAFTS) (Imperial College) which is a far infra-red spectrometer, an ozone monitor and frost point hygrometer (Aberystwyth/DLR-Deutsches Zentrum für Luft- und Raumfahrt - the German Aerospace Center) and a water vapour Tunable Diode Laser analyzer (TDL)(Aberystwyth).\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA Grob Egrett T520 aircraft which flew above the cirrus clouds looking down in conjunction with the ARA King Air aircraft below looking up. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44942, "uuid": "c42370eed884446783831624d2aa0f73", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-1/IMAGES-PLOTS-WEATHER", "numberOfFiles": 1803, "volume": 723322993, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44930, "uuid": "5f63ecac980c4006ac71e3f8fdc5fde5", "short_code": "ob", "title": "Supporting data and images for the CWVC EMERALD-1 Campaign 2001.", "abstract": "Supporting data and images for the first CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-1) Campaign based in Adelaide, Australia, during September 2001.\r\n\r\nThe dataset contains photographs, plots and satellite imagery and synoptic weather charts to support the aircraft measurements made for the CWVC EMERALD-1 Campaign. \r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA Grob Egrett T520 aircraft which flew above the cirrus clouds looking down in conjunction with the ARA King Air aircraft below looking up. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44944, "uuid": "44221bc2abe9470da2eccd47daf72c61", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-1/KINGAIR-data", "numberOfFiles": 51151, "volume": 1389557946, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44919, "uuid": "5b60369c5a444de1af5149a1968cbaa2", "short_code": "ob", "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-1 Campaign 2001.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Beech B200T Super King Air Aircraft for the first CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-1) Campaign based in Adelaide, Australia, during September 2001 \r\nThe dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio plus LiDAR measurements of the cirrus cloud made by the Aberystwyth vertical pointing depolarisation lidar system.\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA King Air aircraft flew below cirrus clouds looking up in conjunction with the ARA Grob Egrett T520 aircraft which flew above looking down. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44945, "uuid": "b8d4b475a0d241d099d04a73404ebecd", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-2/EGRETT-Data", "numberOfFiles": 3848, "volume": 1482102292, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44931, "uuid": "09f598d32e96432b942f7db6f77d10d0", "short_code": "ob", "title": "ARA Grob Egrett T520 Aircraft measurements for the CWVC EMERALD-2 Campaign 2002.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Grob Egrett T520 Aircraft for the second CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-2) Campaign based in Darwin, Australia, during November and December 2002\r\n\r\nThe dataset contains aircraft position information plus Cloud Particle Imager and Forward Scattering Spectrometer Probe (CPI-FSSP)(University of Manchester Institute of Science and Technology -UMIST) to measure cloud microphysical properties, turbulence and temperature probes (Aberystwyth/ARA), Tropospheric Airborne Fourier Transform Spectrometer (TAFTS) (Imperial College) which is a far infra-red spectrometer, an ozone monitor and frost point hygrometer (Aberystwyth/DLR-Deutsches Zentrum für Luft- und Raumfahrt - the German Aerospace Center) and a water vapour Tunable Diode Laser analyzer (TDL)(Aberystwyth)\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA Grob Egrett T520 aircraft which flew above the cirrus clouds looking down in conjunction with the ARA King Air aircraft below looking up. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44946, "uuid": "d67bf4464b7a4b5dbf33416d9e2ddf26", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-2/IMAGES-PLOTS-RADAR-SONDES", "numberOfFiles": 2434, "volume": 440676267, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44927, "uuid": "9e21b0880dbc4e65b0e448a7fd4ec53c", "short_code": "ob", "title": "Supporting data and images for the CWVC EMERALD-2 Campaign 2002.", "abstract": "Supporting data and images for the second CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-2) Campaign based in Darwin, Australia, during September 2002\r\n\r\nThe dataset contains photographs, plots, high resolution cloud radar data provided by the Australian Bureau of Meteorology and sonde data to support the aircraft measurements made for the CWVC EMERALD-2 Campaign. \r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA Grob Egrett T520 aircraft which flew above the cirrus clouds looking down in conjunction with the ARA King Air aircraft below looking up. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44947, "uuid": "d5b67313d967421aae6b0fa4955524c9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cwvc/data/EMERALD-restructured/EMERALD-2/KINGAIR-data:", "numberOfFiles": 0, "volume": 0, "fileFormat": "Various, ASCII", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44925, "uuid": "286697ad3d0047868a72a6aac441b850", "short_code": "ob", "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-2 Campaign 2002.", "abstract": "In-situ and remote measurements made on the Airborne Research Australia (ARA) Beech B200T Super King Air Aircraft for the second CWVC Egrett Microphysics Experiment, with Radiation, Lidar and Dynamics (EMERALD-2) Campaign based in Darwin, Australia, during November and December 2002.\r\n\r\nThe dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio plus LiDAR measurements of the cirrus cloud made by the Aberystwyth vertical pointing depolarisation lidar system.\r\n\r\nThe EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The ARA King Air aircraft flew below cirrus clouds looking up in conjunction with the ARA Grob Egrett T520 aircraft which flew above looking down. \r\n\r\nThese data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme." }, "onlineresource_set": [] }, { "ob_id": 44951, "uuid": "4b83cb18533c4fd2aaa67b46d2c80592", "short_code": "result", "curationCategory": "", "dataPath": "/bodc/deposits02/isw250929", "numberOfFiles": 58, "volume": 19063425595, "fileFormat": ".xml; .img; .csar; .csar0; .tif; .bag; .ovr; .ige; .rrd; .csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44950, "uuid": "1eac4fa0ae6848b6825485665809900c", "short_code": "ob", "title": "Geoswath data collected by Gavia Autonomous Underwater Vehicle from Liverpool Bay area during a RV Prince Madog cruise in June 2023", "abstract": "This dataset contains processed interferometric bathymetry and sidescan data from a GAVIA AUV (Autonomous Underwater Vehicle). GAVIA AUV geoswath data was collected from the Liverpool Bay area (Irish Sea) during a RV Prince Madog cruise in June 2023. Three days of survey took place on the 18th, 21st and 22nd of June 2023. The processing of the bathymetry data was done in Teledyne CARIS software (v11), with the HIPS toolkit, in order to produce gridded depth/elevation layers in CSAR/BAG format. Further processing of the data files was done in GIS (Geographic Information System) software to remove suspect depth data points, to give a 'NoTrees' output. The output format of the files from this was '.img', which is GIS ready. The sidescan output was processed in Chesapeake Technology software SonarWiz (v7) and has had EGN (Empirical Gain Normalization) applied (calculated from the day's sidescan output). The data has then been output as 8-bit grey scales in '.tif ' (GeoTiff) format. The resolution of bathymetry output is mainly 25cm (some resolutions are 50cm). The sidescan output is also mainly 25cm resolution (some resolutions are 10cm). The MarineTools toolbox, mentioned in the 'readme' file, is available on the National Oceanography Centre website under the AtlantiS (Atlantic Climate and Environment Strategic Science) project. These data were produced as part of the Natural Environment Research Council (NERC) funded project 'Ecological implications of accelerated seabed mobility around windfarms' (EcoWind-ACCELERATE), with grant number NE/X008886/1, by scientists from the National Oceanography Centre (NOC) and Scottish Association for Marine Science (SAMS)." }, "onlineresource_set": [] }, { "ob_id": 44958, "uuid": "19227d2ce55e42739968067b0c4a6a0e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/ers2/v4.0/NH", "numberOfFiles": 1661, "volume": 3742232564, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44270, "uuid": "17c6b09a5466406c800c2978f17b8372", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from ERS-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA (Radar Altimeter) instrument on the ERS-2 satellite (European Remote-sensing Satellite - 2). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 1995 to April 2003." }, "onlineresource_set": [] }, { "ob_id": 44959, "uuid": "0a9bd1ad48a24f699a74a571f1fd96dc", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v4.0/NH", "numberOfFiles": 2076, "volume": 5315033795, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44273, "uuid": "5e58f03c4d664b2b9e4e16f2d12e0c4f", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the winter months of October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012." }, "onlineresource_set": [] }, { "ob_id": 44960, "uuid": "94d5cbc3e20645b4a16b008032003aba", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v4.0/SH", "numberOfFiles": 3446, "volume": 4506069619, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44274, "uuid": "1ba530ada3bc4d61a2141e6fa68315f1", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 44961, "uuid": "ad7c906952634f3b9afcc9d5fb114773", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/cryosat2/v4.0/NH", "numberOfFiles": 2939, "volume": 13530593807, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44275, "uuid": "5487186f657644f798a1e6828d8bed3c", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2010 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44962, "uuid": "ec45b1de4a914a8bba79397a6970f0fb", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/cryosat2/v4.0/SH", "numberOfFiles": 4910, "volume": 7315435807, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44276, "uuid": "edfda165965749cbb8ba7c2e0d30a6b4", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2024. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly consider the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, "onlineresource_set": [] }, { "ob_id": 44963, "uuid": "7c45761e426742138af0a35ce22e0724", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/sentinel3a/v4.0/NH", "numberOfFiles": 1699, "volume": 4671216285, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44277, "uuid": "1ac5ba6a41d34007bd64bd83b91dc09b", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3A on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel-3A satellite. 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This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2018 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44967, "uuid": "d60225a3218f4d4088c0173cef1b9343", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/ers2/v4.0/NH", "numberOfFiles": 57, "volume": 156103693, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44281, "uuid": "dfc03980decc4e50b111d5981358930e", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from ERS-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA (Radar Altimeter) instrument on the ERS-2 satellite (European Remote-sensing Satellite - 2). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 1995 to April 2003." }, "onlineresource_set": [] }, { "ob_id": 44968, "uuid": "d4ba3aa3b6cf43838156acce18ea9a41", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v4.0/NH", "numberOfFiles": 70, "volume": 191094696, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44282, "uuid": "a0120f31bcd94f8da74ddfebe658773d", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2002 to March 2012." }, "onlineresource_set": [] }, { "ob_id": 44969, "uuid": "8ed48eb1a5ed4e04abccf1ebcebb3a63", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v4.0/SH", "numberOfFiles": 115, "volume": 86653784, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44283, "uuid": "f4631b76dbae432ead809836805944d7", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Envisat on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2002 to March 2012." }, "onlineresource_set": [] }, { "ob_id": 44970, "uuid": "50891b8775d44b75b198fd998c907399", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v4.0/NH", "numberOfFiles": 99, "volume": 279111206, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44284, "uuid": "887ebbe3aa4345f3bbcbe2dd1834d955", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from CryoSat-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2010 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44971, "uuid": "df121e8a20ac42068597be1beff0360e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v4.0/SH", "numberOfFiles": 163, "volume": 122152257, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44285, "uuid": "5cd23b8adfe149e59f218e9b1c9364b3", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from CryoSat-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2010 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44972, "uuid": "a0bb44845873491983459e2bf916a5ca", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/sentinel3a/v4.0/NH", "numberOfFiles": 57, "volume": 151688921, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44286, "uuid": "87623591b26042a2aa1bac231f657923", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3A on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2016 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44973, "uuid": "2a25be1e8f8b481b9c440e005543e266", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/sentinel3a/v4.0/SH", "numberOfFiles": 92, "volume": 67869025, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44287, "uuid": "f4d89a6e59724ecbb7a4b8d4a8df622d", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3A on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Southern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2016 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44974, "uuid": "3f398d65f383487f81ebe4d08342b454", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/sentinel3b/v4.0/NH", "numberOfFiles": 42, "volume": 111469017, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44288, "uuid": "e33393b68592473cab41701219c74fd7", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3B on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2018 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44975, "uuid": "5d2d242dc09243d5ba3e641d915a7218", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/sentinel3b/v4.0/SH", "numberOfFiles": 67, "volume": 49121584, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44289, "uuid": "db0aee3dbdc54ab0981bca2e632f3be3", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3B on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Southern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2018 to April 2024." }, "onlineresource_set": [] }, { "ob_id": 44976, "uuid": "d75c685e7f1e4a4dba7385f4e42f945a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/canada/edmonton/ecc-canada-vaisala-cl61_B", "numberOfFiles": 140, "volume": 334278357, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44977, "uuid": "b25cf8635ce7441ea53a064601080553", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ECCC's vaisala-cl61 instrument deployed at Edmonton, Canada", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Environment and Climate Change Canada (ECCC)'s vaisala-cl61 deployed at Edmonton, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44980, "uuid": "2fbe7323843b47fba5595907619446f1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/czech-republic/plzen/chmi-vaisala-cl51_A", "numberOfFiles": 158, "volume": 410591977, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44981, "uuid": "a8370ba67b9f434bb9df10331c1035e5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Plzen, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Plzen, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11450.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44983, "uuid": "352659843eeb439ca68c4698ce48d1bf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/iceland/keflavikurflugvollir/isavia-vaisala-cl51_A", "numberOfFiles": 352, "volume": 1065093400, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44984, "uuid": "b4d3598d4a5945bfbd54dfa81d784080", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 instrument A deployed at Keflavikurflugvollir, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 deployed at Keflavikurflugvollir, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04018.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44988, "uuid": "1e28836d82a1447e8e169630c4bbc8eb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/iceland/keflavikurflugvollir/isavia-vaisala-cl51_B", "numberOfFiles": 353, "volume": 1073472747, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44989, "uuid": "7309d102a8134ebba395be1a09ce4318", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 instrument B deployed at Keflavikurflugvollir, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 deployed at Keflavikurflugvollir, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04018.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44991, "uuid": "a8a19a497ee2487f9a3cb1a1194791f8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/italy/capo-granitola/cnr-isac-lufft-chm15k_A", "numberOfFiles": 167, "volume": 430570308, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44992, "uuid": "42b9f16b9ae64860b62afec7fb1fc73f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's lufft-chm15k instrument deployed at Capo Granitola, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s lufft-chm15k deployed at Capo Granitola, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-CGR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 44995, "uuid": "727a4912f7dc420b9e3015f6fc8fe9bb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/italy/potenza/cnr-imaa-lufft-chm15k_A", "numberOfFiles": 615, "volume": 1267168828, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44996, "uuid": "3cf0b12a4aef4ea9bf1e050447deb927", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-IMAA's lufft-chm15k instrument deployed at Potenza, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Methodologies for Environmental Analysis (CNR-IMAA)'s lufft-chm15k deployed at Potenza, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-POT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45005, "uuid": "e63dcd3bbdb6408780806a15d2e5adf8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/netherlands/hkn/knmi-lufft-chm15k_A", "numberOfFiles": 617, "volume": 1650341939, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45006, "uuid": "c09b691981a04facbc9c76935aa568e1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkn, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkn, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06213.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45009, "uuid": "cd875a30b85b4d98ac29ae9c07cc906b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/netherlands/hkwa/knmi-lufft-chm15k_A", "numberOfFiles": 635, "volume": 1706153933, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45010, "uuid": "bf14740ba83a4a77afc0c6d79ea72ade", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkwa, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkwa, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06218.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45013, "uuid": "f50f9916c5e74dcbb8e81c71837104b8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/netherlands/hkza/knmi-lufft-chm15k_A", "numberOfFiles": 635, "volume": 1704830011, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45014, "uuid": "109457269d12485f87c09aaac1d6d6ca", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkza, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkza, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06216.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45017, "uuid": "03cf55e7d6fb4cf58c292f2e8d24a5b8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/new-zealand/lauder/niwa-vaisala-cl61_A", "numberOfFiles": 189, "volume": 471036807, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45018, "uuid": "9c500e2fb6974ed392cb71e02e199bd3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NIWA's vaisala-cl61 instrument deployed at Lauder, New Zealand", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Institute of Water & Atmospheric Research (NIWA)'s vaisala-cl61 deployed at Lauder, New Zealand.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-LAU.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45022, "uuid": "1bcbc8cd34884983b18dd57ed37392ad", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/norway/birkenes/nilu-vaisala-cl61_A", "numberOfFiles": 126, "volume": 345316395, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45023, "uuid": "f9cb5237d72a43ea8b5fcfbf0ac95547", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Norwegian Environmental Research Institution's vaisala-cl61 instrument deployed at Birkenes, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Norwegian Environmental Research Institution's vaisala-cl61 deployed at Birkenes, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-BIR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45027, "uuid": "f66697ea782949959a0b14d56b161f42", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/portugal/evaso/evora-university-lufft-chm15k_B", "numberOfFiles": 585, "volume": 1539245948, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45028, "uuid": "0120617e79d74f8bbd5d228727c6cbc7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Universidade de Évora's lufft-chm15k instrument deployed at Evaso, Portugal", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universidade de Évora's lufft-chm15k deployed at Evaso, Portugal.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45032, "uuid": "f3448f0cd4a8459aa12f58e56bdb5495", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/portugal/evaso/evora-university-vaisala-cl31_A", "numberOfFiles": 768, "volume": 1033861151, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45033, "uuid": "57c574812d36414bb6c56732221c83d1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 instrument deployed at Evaso, Portugal", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 deployed at Evaso, Portugal.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45036, "uuid": "54702ad28ef24338925b3e91bb470559", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/slovenia/ljubljana-bezigrad/slovenian-environment-agency-vaisala-cl51_A", "numberOfFiles": 896, "volume": 2338189056, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45037, "uuid": "d637557c5e244f4294b4328396d6e2ad", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 instrument deployed at Ljubljana Bezigrad, Slovenia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 deployed at Ljubljana Bezigrad, Slovenia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45041, "uuid": "20e04942d83a442b817075fe2b612ee3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/spain/ciemat-madrid/ciemat-lufft-chm15k_A", "numberOfFiles": 451, "volume": 1196567509, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45042, "uuid": "e603224b49214a89bc8571be1149e7d0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CIEMAT's lufft-chm15k instrument deployed at Ciemat Madrid, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)'s lufft-chm15k deployed at Ciemat Madrid, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-0000000CIEMAT001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45046, "uuid": "2909f04683e84677ac2394bf6d331bc9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/spain/guadiana-ugr/granada-university-lufft-chm15k_A", "numberOfFiles": 472, "volume": 1249863079, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45047, "uuid": "a260ec3c086041ba8f90a8a744bdce50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's lufft-chm15k instrument deployed at Guadiana Ugr, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s lufft-chm15k deployed at Guadiana Ugr, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-000000000UGRA001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45050, "uuid": "250b7cf067cd40339d0723d50b177a9c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/sweden/svartberget/slu-vaisala-cl51_A", "numberOfFiles": 461, "volume": 1198661512, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45051, "uuid": "20841033310347b9bcf23319f89c07e9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SLU's vaisala-cl51 instrument deployed at Svartberget, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish University of Agricultural Sciences (SLU)'s vaisala-cl51 deployed at Svartberget, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-SVB.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45055, "uuid": "0842009838df493e8c735cb51a5bf096", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/switzerland/eriswil/eth-zurich-lufft-chm15k_A", "numberOfFiles": 834, "volume": 2123812388, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45056, "uuid": "48590959bc8f47adbdb669284fd14593", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ETH Zurich's lufft-chm15k instrument deployed at Eriswil, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from ETH Zurich's lufft-chm15k deployed at Eriswil, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-756-2-ERISWIL.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45060, "uuid": "fae13c94e77f46eb86d8d1e7498065b7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/switzerland/lugano-airport/meteoswiss-vaisala-cl31_A", "numberOfFiles": 820, "volume": 1131000012, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45061, "uuid": "1b71cdc0ffac4d61bd3b11e9c1d9f1a1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 instrument deployed at Lugano Airport, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 deployed at Lugano Airport, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06775.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45064, "uuid": "92212ac974ec4b1a8cee81d374dc50fa", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/switzerland/nottwil/meteoswiss-vaisala-cl31_A", "numberOfFiles": 940, "volume": 1298892555, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45065, "uuid": "bda33c37527c418f910e4999e5d94910", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 instrument deployed at Nottwil, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 deployed at Nottwil, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-756-0-RGNOT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45068, "uuid": "7c1659ea9d6b4c68a689d9d47f0de475", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/uk/camborne/metoffice-vaisala-cl61_C", "numberOfFiles": 162, "volume": 436916124, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45069, "uuid": "995a581d67b64823968ad8169f368e17", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's vaisala-cl61 instrument deployed at Camborne, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's vaisala-cl61 deployed at Camborne, UK.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03808.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45072, "uuid": "04305317026e435dbc121a4aedcd2545", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/uk/jodrell-bank-observatory/ncas-lufft-chm15k_A", "numberOfFiles": 185, "volume": 497607270, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45073, "uuid": "5e578aeeb359467d99d6f3d87b0a7435", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NCAS's lufft-chm15k instrument deployed at Jodrell Bank Observatory, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Centre for Atmospheric Science (NCAS)'s lufft-chm15k deployed at Jodrell Bank Observatory, UK.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-826-301-3.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45079, "uuid": "33153b86d27a4661a82232fdef1bb2ad", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/eprofile/data/daily_files/italy/saint-christophe-aosta/arpa-vaisala-cl61_B", "numberOfFiles": 135, "volume": 356758813, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45080, "uuid": "6ec73677d34a4d6a97305f755e704c98", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ARPA's vaisala-cl61 instrument deployed at Saint-Christophe Aosta, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agenzia regionale per la protezione ambientale (ARPA)'s vaisala-cl61 deployed at Saint-Christophe Aosta, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-380-5-1.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, "onlineresource_set": [] }, { "ob_id": 45090, "uuid": "c02c3fdbc8604496a0e8e1e8bb6ea1c4", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/TERRA_MODIS/L3C/0.01/v4.00/daily/", "numberOfFiles": 15839, "volume": 14645915713781, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44643, "uuid": "d56a6215ce394ddd8dff6bea5dbb0780", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2021), version 4.00", "abstract": "This dataset contains daily land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe daily dataset starts from 24th February 2000 and ends 31st December 2021. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nIn Version 4.00 the time series has been extended to 2021. The emissivities used in the retrieval come from the Combined ASTER and MODIS Emissivity over Land (CAMEL) Version 2 database; in Version 4.00 a climatology is used since there are temporal instabilities in the CAMEL time series.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, "onlineresource_set": [] }, { "ob_id": 45097, "uuid": "43ce99839c2d416cbef0b54419b29e85", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/AQUA_MODIS/L3C/0.01/v4.00/daily/", "numberOfFiles": 14211, "volume": 13486159611868, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44644, "uuid": "a92c495827ef4c81a901f878adb6ef70", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2021), version 4.00", "abstract": "This dataset contains daily-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 4th July 2002 and ends on 31st December 2021. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nIn Version 4.00 the time series has been extended to 2021. The emissivities used in the retrieval come from the Combined ASTER and MODIS Emissivity over Land (CAMEL) Version 2 database; in Version 4.00 a climatology is used since there are temporal instabilities in the CAMEL time series.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, "onlineresource_set": [] }, { "ob_id": 45098, "uuid": "f35dee65b90c479d8bf981c81a781169", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/land_surface_temperature/data/SENTINEL3A_SLSTR/L3C/0.01/v4.00/daily/", "numberOfFiles": 5425, "volume": 2880487836338, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44673, "uuid": "4a40c6fe12cc4c0786608065da06d287", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2023), version 4.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and ends on 31st December 2023. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nIn Version 4.00 the temporal coverage is extended to 31st December 2023. The emissivities used in the retrieval come from the Combined ASTER and MODIS Emissivity over Land (CAMEL) Version 2 database; in Version 4.00 a climatology is used since there are temporal instabilities in the CAMEL time series.\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 ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.\r\n\r\nAn extended version of this dataset is also provided through the EOCIS project." }, "onlineresource_set": [] } ] }